CN116542492B - Energy information processing method and device for household energy storage system - Google Patents
Energy information processing method and device for household energy storage system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
Abstract
The application provides an energy information processing method and device for a household energy storage system. According to the method, through prediction of extreme weather, a first user needing to assist in power supply and a second user not needing to assist in power supply are determined, a personalized energy supplementing strategy is formulated for the first user needing to assist in power supply in advance, the intelligence and comprehensiveness of energy information processing of a system in a multi-user energy storage system scene can be improved, the refinement degree and accuracy of energy scheduling of the system are improved, and the cost loss of household power consumption of the user under the extreme weather is reduced.
Description
Technical Field
The application relates to the technical field of power storage systems, in particular to an energy information processing method and device for a household energy storage system.
Background
As the current environmental awareness is continuously increasing, the countries where thermal power generation is the main stream have been striving for different power generation approaches, such as solar power generation.
Since the current amount of solar generated electricity is not yet fully available to all households, many countries currently encourage individual households to install individual solar energy storage systems, which typically include solar panel sets, batteries, inverters, controllers, loads, and the like.
However, the solar energy storage system is limited by a power generation mode, is arranged on a roof or outdoors and is relatively easy to be influenced by the outside, especially in regions with frequent extreme weather, so that it is conceivable that in those regions with frequent extreme weather, the solar panels of the energy storage systems of many individual household users cannot provide stable energy, still need a commercial power network to supply power, the cost is too high, and the commercial power network is easy to be damaged in extreme weather, and the condition of long-time power failure is likely to occur, thereby influencing the power supply condition of families.
Disclosure of Invention
The energy information processing method and device for the household energy storage system can improve the intelligence and comprehensiveness of energy information processing of the system in a multi-user energy storage system scene, improve the refinement degree and accuracy of energy scheduling of the system, and reduce cost loss of household electricity consumption guaranteed by a user in extreme weather.
In a first aspect, the present application provides an energy information processing method for a home energy storage system, where the method is applied to a cloud server, and the cloud server is communicatively connected to the home energy storage system, and the method includes:
Predicting that the target region has extreme weather information in a target time period, wherein the extreme weather information comprises weather which can influence the normal operation of a household energy storage system;
determining that a user installing a home energy storage system exists in the target area;
before the target time period, interacting with a user who has a home energy storage system installed in the target area to determine a first user needing assistance in power supply and a second user needing no assistance in power supply;
generating a pre-order, and sending the pre-order to the first user, wherein the pre-order comprises the estimated size and quantity of the storage battery capacity required by the first user;
receiving a confirmation message for the pre-order sent by the first user;
before the target time period, delivering a storage battery corresponding to the pre-order to the first user;
determining whether the home energy storage system of the second user can stably supply power in the target time period;
generating an energy supplementing strategy aiming at the electricity utilization habit of the second user under the condition that the household energy storage system of the second user cannot stably supply electricity, wherein the energy supplementing strategy comprises an electricity changing strategy and/or a grid-connected strategy, the electricity changing strategy comprises a strategy for realizing energy supplementing by changing a storage battery in a corresponding household energy storage system for the second user, and the grid-connected strategy comprises a strategy for supplying electricity to the household energy storage system of the second user through a power supply network so as to realize energy supplementing;
And supplementing energy to the second user through the energy supplementing strategy.
According to the method and the system, through prediction of extreme weather, a first user needing to assist in power supply and a second user not needing to assist in power supply are determined, a personalized energy supplementing strategy is formulated for the first user needing to assist in power supply in advance, so that the situation that the first user cannot meet the power consumption requirement of a family under the influence of the extreme weather is avoided, further, corresponding personalized energy supplementing strategies are formulated for users who have suffered from the extreme weather in the second user, the cost loss of the household power consumption is reduced for the users under the extreme weather, the intelligence and comprehensiveness of the system processing energy information in a multi-user energy storage system scene are improved, and the refinement degree and accuracy of energy scheduling of the system are improved.
In a second aspect, the application provides an energy information processing device for a home energy storage system, where the device at least includes a prediction unit, a first determination unit, an interaction unit, a generation unit, a receiving unit, a distribution unit, a second determination unit, a formulation unit, and an energy supplementing unit. The energy information processing device for a household energy storage system is configured to implement the method described in any one of the embodiments of the first aspect, where the following description is given to the prediction unit, the first determination unit, the interaction unit, the generation unit, the receiving unit, the distribution unit, the second determination unit, the formulation unit, and the energy supplementing unit:
The prediction unit is used for predicting that the target region has extreme weather information in a target time period, wherein the extreme weather information comprises weather which can influence the normal operation of the household energy storage system;
a first determining unit, configured to determine that a user who installs a home energy storage system exists in the target area;
the interaction unit is used for interacting with a user with a home energy storage system in the target area before the target time period so as to determine a first user needing assistance in power supply and a second user not needing assistance in power supply;
the generation unit is used for generating a pre-order and sending the pre-order to the first user, wherein the pre-order comprises the estimated size and quantity of the storage battery capacity required by the first user;
the receiving unit is used for receiving a confirmation message for the pre-order sent by the first user;
a delivery unit for delivering a battery corresponding to the pre-order to the first user before the target period;
the second determining unit is used for determining whether the household energy storage system of the second user can stably supply power or not in the target time period;
the energy supplementing system comprises a formulating unit, a power supply unit and a power supply unit, wherein the formulating unit is used for generating an energy supplementing strategy aiming at the electricity utilization habit of the second user under the condition that the household energy storage system of the second user can not stably supply power, the energy supplementing strategy comprises a power exchanging strategy and/or a grid connection strategy, the power exchanging strategy comprises a strategy for realizing energy supplementing by exchanging a storage battery in a corresponding household energy storage system for the second user, and the grid connection strategy comprises a strategy for supplying power for the household energy storage system of the second user through a commercial power network so as to realize energy supplementing;
And the energy supplementing unit is used for supplementing energy to the second user through the energy supplementing strategy.
According to the method and the system, through prediction of extreme weather, a first user needing to assist in power supply and a second user not needing to assist in power supply are determined, a personalized energy supplementing strategy is formulated for the first user needing to assist in power supply in advance, so that the situation that the first user cannot meet the power consumption requirement of a family under the influence of the extreme weather is avoided, further, corresponding personalized energy supplementing strategies are formulated for users who have suffered from the extreme weather in the second user, the cost loss of the household power consumption is reduced for the users under the extreme weather, the intelligence and comprehensiveness of the system processing energy information in a multi-user energy storage system scene are improved, and the refinement degree and accuracy of energy scheduling of the system are improved.
In a third aspect, the present application provides an energy information processing device for a home energy storage system, the energy information processing device for a home energy storage system comprising a processor, a memory, and a communication interface; a memory having a computer program stored therein; the communication interface, when executed by the processor, is configured to transmit and/or receive data, and the energy information processing device for a home energy storage system may perform the method described in the first aspect or any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein a computer program which, when executed on at least one processor, implements the method described in the first aspect or any of the alternatives of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising a computer program for implementing the method of the first aspect or any of the alternatives of the first aspect, when said program is run on at least one processor.
According to the method and the system, through prediction of extreme weather, the first user needing to assist in power supply and the second user not needing to assist in power supply are determined, and personalized energy supplementing strategies are formulated for the first user needing to assist in power supply in advance, so that the situation that the first user cannot meet the power consumption requirement of a family under the influence of the extreme weather is avoided, further, corresponding personalized energy supplementing strategies are formulated for users who have suffered from the extreme weather in the second user, the cost loss of the household power consumption of the users is reduced, in the aspect of a system, the intelligence and the comprehensiveness of the system in processing energy information in a multi-user energy storage system scene are improved, and the refinement degree and the accuracy of energy scheduling of the system are improved.
Drawings
For a clearer description of the technical solutions of the present application or of the prior art, the drawings that are required to be used in the description of the embodiments or of the prior art are briefly introduced below, it being evident that the drawings in the description below are only some embodiments of the present application, from which other drawings can be obtained, without the inventive effort, for a person skilled in the art.
The drawings that are used in the description of the embodiments will be briefly described below.
Fig. 1 is a schematic architecture diagram of an energy scheduling system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a home energy storage system according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of an energy information processing method for a home energy storage system according to an embodiment of the present application;
fig. 4 is a schematic diagram of a current flow of a home energy storage system according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of the current flow of another home energy storage system provided in an embodiment of the present application;
FIG. 6 is a schematic diagram of the current flow of yet another home energy storage system provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of an energy information processing device for a home energy storage system according to an embodiment of the present application;
Fig. 8 is a schematic structural diagram of an energy information processing device for a home energy storage system according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
The following describes a system architecture applied to the embodiment of the present application. It should be noted that, the system architecture and the service scenario described in the present application are for more clearly describing the technical solution of the present application, and do not constitute a limitation on the technical solution provided in the present application, and those skilled in the art can know that, with the evolution of the system architecture and the appearance of the new service scenario, the technical solution provided in the present application is also applicable to similar technical problems.
Referring to fig. 1, fig. 1 is a schematic architecture diagram of an energy scheduling system according to an embodiment of the present application, where the system includes a home energy storage system 101 and a cloud server 102, wherein:
the household energy storage system 101 includes a photovoltaic power generation module, an inverter module, a storage battery module, a household appliance load module and a utility power module, please refer to fig. 2 for a specific structure, fig. 2 is a schematic structural diagram of the household energy storage system provided in the embodiment of the present application, wherein:
the photovoltaic power generation module is used for converting solar energy into electric energy, and then the generated electric energy is selectively transmitted to the household appliance, the commercial power grid and the storage battery module after passing through the inverter module; in this embodiment, the size of the photovoltaic module in the photovoltaic power generation module is determined by the actual installation location, and an area is taken as an example, and the solar radiation resources in the area are basically at average level in the whole country. When the photovoltaic module is installed on the glass guardrail of the balcony of the 13 building householder in the forward south direction, the frame size of the photovoltaic module (adopting the aluminum frame module) is as follows: 669mm wide and 923mm high, calculated area was 0.618m2 and the installed capacity nominal value was 110Wp. This installation size and cost is affordable to most households for domestic household users. When the method is implemented, the photovoltaic module can adopt a photovoltaic building integrated module, the original glass fence of the balcony can be directly replaced, and the method has better overall sense and more coordinated appearance.
The inverter module comprises one or more inverter units, and one inverter unit of the one or more inverter units is used for converting direct current generated by the photovoltaic power generation module into alternating current with the same frequency, phase synchronization and voltage amplitude as the mains supply; optionally, in an extreme weather condition, after the inverter module is controlled by the cloud server 102, grid connection or off-grid is selected, for example, the inverter module can store a part of electric energy generated by the photovoltaic power generation module into the storage battery module, a part of electric energy is transmitted to the household appliance load module, and the rest of electric energy is converted into alternating current and transmitted to the mains supply module; optionally, the inverter module is composed of a GW5048-EM bidirectional energy storage type photovoltaic inverter.
The household appliance load module comprises various appliances connected with the mains supply in individual families, and three energy supply modes are generally respectively: mains supply power supply, storage battery module power supply and photovoltaic power generation module power supply.
The storage battery module is used for storing direct current transmitted by the inverter module.
The utility power module is connected with a utility power network and is mainly used for supplying power to the household electrical appliance load module and/or the storage battery module, and receiving the electric energy stored in the storage battery module and the electric energy generated by the photovoltaic power generation module and adjusted by the inverter.
The home energy storage system 101 may be a plurality of home energy storage systems for a plurality of users.
The cloud server 102 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligence platforms.
If the home energy storage system 101 is a plurality of home energy storage systems of a plurality of users, the cloud server 102 is communicatively connected to each home energy storage system.
The cloud server 102 may adjust the inverter status according to a preset or user command, so as to change the current flow direction in the home energy storage system 101,
optionally, when the utility power module is selected to supply power to the household appliance load module, the cloud server 102 can detect the utility power voltage in real time, and can automatically switch to supply power to the storage battery when the utility power is detected to have a power failure. Therefore, continuous power supply can be ensured after power failure, and normal operation of part of household appliances is ensured.
Optionally, the user may be communicatively connected to the cloud server 102 through a remote terminal, and timely acquire the running state and related parameters of the system, and may also remotely control the system through the cloud server 102, for example, the control state of the inverter module, the charge and discharge control of the battery module, and the control of the working mode.
Referring to fig. 3, fig. 3 is a flow chart of an energy information processing method for a home energy storage system provided in an embodiment of the present application, where the energy information processing method for a home energy storage system is applied to a cloud server in an energy scheduling system, the energy scheduling system includes the cloud server and a plurality of home energy storage systems of a plurality of users, and the cloud server is communicatively connected with each home energy storage system, that is, the energy information processing method for a home energy storage system may be implemented based on the cloud server in the system architecture diagram shown in fig. 1, but may also be implemented based on other architectures, and the method includes but is not limited to the following steps:
step S301: and predicting that the target region has extreme weather information in the target time period.
In an alternative embodiment, future weather of the target region is predicted based on a weather-related prediction model, for example, the weather-related prediction model includes a hydrological model, a morphological flooding model, the hydrological model can predict the water level condition of the river at a certain point in the future according to the measured value of the precipitation or the upstream water level, and the morphological flooding model combines physics-based modeling with machine learning technology to create a more accurate and more expansive flooding model in the real-world environment (real-world settings). The method carries out inundation simulation by calculating and modifying the form of the elevation map so as to measure the scene of flood burst; in another alternative embodiment, the future weather of the target region may be predicted based on weather information related to the target region issued by the weather station; it can be appreciated that after the future weather of the target zone is obtained, it can be determined whether the target zone has extreme weather information in the target time period.
Optionally, the target time period is three days in the future after the current time point.
According to the method and the device for simulating disaster scenes, the situation that extreme weather information exists in the target region in the target time period is selected, the extreme weather information comprises weather which can influence normal operation of the household energy storage system, and the disaster scenes are simulated through previewing of the extreme weather information, so that supply and demand balance of electric quantity required by individuals taking families as units is guaranteed under the situation that the household energy storage system under the condition of extreme weather is damaged.
Photovoltaic power generation module based on among the family's energy storage system is installed on roof or outdoor generally, receives extremely easily that extreme weather such as sleet, flood, hail influences, consequently, predicts to the extreme weather that probably causes the damage to family's energy storage system, improves the intelligent and the pertinence of high in the clouds server facing extreme weather.
Step S302: determining that there is a user installing a home energy storage system in the target area.
It should be noted that, in this embodiment of the present application, all be connected with the cloud server in the family energy storage system of the target region, optionally, the cloud server includes a plurality of servers, and every family energy storage system corresponds a server, can communicate each other between a plurality of servers, also optionally, the cloud server in the family energy storage system of the target region is the same.
Step S303: before the target time period, interacting with a user in the target area where a home energy storage system is installed to determine a first user needing assistance in powering and a second user not needing assistance in powering.
In this embodiment of the present application, the cloud server may communicate with a terminal of a user, so before the target period of time, interact with a user in the target area where a home energy storage system is installed to determine whether the user worry about whether the home energy storage system is damaged in extreme weather, and further, because the home energy storage system includes a storage battery, during the interaction, confirm to the user whether the electric quantity stored in the storage battery of the user is enough to satisfy the domestic power demand in the target period of time in the case that the commercial network and/or the home energy storage system is damaged, thereby determining a first user assisting in power supply and a second user not needing to assist in power supply.
It will be appreciated that the first user, typically the amount of power stored in the battery, is not able to meet the domestic power demand for the target period of time.
Step S304: generating a pre-order and sending the pre-order to the first user.
The pre-order includes a predicted size and amount of battery capacity required by the first user.
The process of generating a pre-order described above is, in an alternative embodiment, the following:
determining the electricity consumption habit of the first user, wherein the electricity consumption habit is used for representing the electricity consumption of the first user in different time periods in a day;
estimating the target electricity consumption of the first user in the target time period according to the duration of the extreme weather information and the electricity consumption habit of the first user;
determining a remaining capacity of a battery in a home energy storage system of the first user;
and determining the size and the number of the storage battery capacity required by the first user according to the target electricity consumption and the residual electricity of the storage battery in the household energy storage system of the first user, wherein it is understood that a pre-order is generated based on the size and the number of the storage battery capacity required by the first user.
In an alternative embodiment, the electricity consumption habit of the first user is specifically expressed as the electricity consumption of a household appliance load module in the household energy storage system of the first user, so that the electricity consumption habit of the first user can be determined through the electricity consumption habit of each electric equipment in the household appliance load module, and the electricity consumption habit of each electric equipment comprises the electricity consumption period of each electric equipment and the corresponding electricity consumption of the electricity consumption period;
It can be understood that in extreme weather, if the city ionization network is determined, the household energy storage system can supply power to each electric device according to the power utilization habit of each electric device, specifically, calculates the power utilization data of each electric device at the current moment according to the power utilization period of each electric device and the power utilization amount corresponding to the power utilization period; and supplying power to the devices according to the power consumption data of the devices at the current moment.
When the urban ionization network is judged, the household energy storage system runs autonomously, electricity consumption data of each electric device at the current moment are calculated according to the electricity consumption time period of each electric device and the corresponding electricity consumption amount of the electricity consumption time period, and power is supplied to each electric device in real time according to the electricity consumption data, so that the electricity consumption needs of users are guaranteed.
In an optional implementation manner, the cloud server also sets a control method of the home energy storage system for extreme weather, specifically calculates the total power consumption of each electric device in the city ionization network time period according to the city ionization network time period and the power consumption habit of each electric device; and when the total electricity consumption of each electric equipment exceeds the available stored electricity in the city ionization network time period, adjusting the electric equipment and/or the electricity consumption data, and taking the electricity consumption data as the current-moment electricity consumption data of each electric equipment.
And comparing the calculated total power consumption with the available stored power, and if the total power consumption of each electric device exceeds the available stored power, adjusting the electric device and/or the power consumption data and using the power consumption data as the power consumption data of each electric device at the current moment so as to ensure that the corresponding power consumption of the necessary power consumption period of the user has no influence.
In yet another alternative embodiment, the adjusting the powered device and/or the power consumption data includes: powering off unnecessary electric equipment in the electric equipment; or, reducing the power of unnecessary electric equipment in the electric equipment.
In yet another optional implementation manner, determining whether to power down unnecessary electric equipment in the electric equipment according to a difference value between the total electric quantity of each equipment and the available stored electric quantity in the urban ionization network time period; or determining the percentage for reducing the power of unnecessary electric equipment in the electric equipment according to the difference value between the total electric quantity of the equipment and the available storage electric quantity in the city ionization network time period.
When the total electricity consumption does not exceed the available electricity consumption, the available electricity consumption in the stored energy is abundant at the moment, and the stored energy is completely discharged according to the electricity consumption habit of a user (by detecting the fluctuation of the bus voltage and adjusting in real time, the stored energy is discharged according to the necessary electricity consumption and the unnecessary electricity consumption).
When the total electricity consumption exceeds the available stored electricity consumption, at the moment, the electricity is discharged as required in the period of the necessary electricity consumption, and when the unnecessary electricity consumption is used in life, the electricity consumption equipment and/or the electricity consumption data are adjusted according to the residual available stored electricity consumption in the stored energy (the power supply of the unnecessary electricity consumption period is reduced by the down-regulating bus), namely, the unnecessary electricity consumption equipment in the electricity consumption equipment is powered off; or, reducing the power of unnecessary electric equipment in the electric equipment. Further, if the available stored electricity just meets the electricity consumption corresponding to the necessary electricity consumption period, the unnecessary electric equipment in the electric equipment is powered off, and if the available stored electricity meets the electricity consumption corresponding to the necessary electricity consumption period again, the electric equipment is rich, and at the moment, the power of the unnecessary electric equipment in the electric equipment is determined to be reduced according to the residual available stored electricity.
It should be noted that, even though the economic adjustment similar to the above process is performed, the electric quantity of the storage battery is still insufficient to meet the electric power demand in the target time period, and thus, the assistance of power supply is still required.
And after generating the pre-order corresponding to the first user, sending the pre-order to the first user.
Step S305: and receiving a confirmation message for the pre-order sent by the first user.
Step S306: and before the target time period, the storage battery corresponding to the pre-order is distributed to the first user.
After receiving the confirmation message for the pre-order sent by the first user, the storage battery corresponding to the pre-order can be ready to be distributed to the first user, wherein the storage battery corresponding to the pre-order is the same as or exceeds the storage battery in content and quantity.
Step S307: and determining whether the household energy storage system of the second user can stably supply power in the target time period.
In an alternative embodiment, receiving energy storage information of a home energy storage system of the second user in a target time period, wherein the energy storage information comprises power supply quantity and a power supply time point;
determining the operation condition of the household energy storage system of the second user in the target time period according to the energy storage information, wherein the operation condition comprises normal operation, abnormal operation or stop operation, the abnormal operation is used for representing the situation that the household energy storage system is partially damaged and still can supply power, the stop operation is used for representing the situation that the household energy storage system is completely damaged and cannot supply power, the operation condition of the household energy storage system in the target time period can be determined according to the magnitude of the power supply quantity and the power supply time point, for example, the power supply quantity of the household energy storage system is 2.1kWh before the target time period, the power supply quantity of the household energy storage system is reduced from 2.1kWh to 0.9kWh in the target time period, the amplitude reduction is 1.2kWh, and the amplitude reduction of other household energy storage systems is generally 0.3kWh-0.8kWh, and the amplitude reduction of the household energy storage system is obviously beyond that of other household energy storage systems of the target region, so that the operation condition of the household energy storage system can be judged as abnormal operation; if the power supply amount of a certain household energy storage system is 0kWh in the target time period, the running state of the household energy storage system can be judged to be stopped; before the target time period, the power supply amount of the household energy storage system is 2.0kWh, in the target time period, the power supply amount of the household energy storage system is reduced from 2.0kWh to 1.5kWh, the amplitude reduction is 0.5kWh, the amplitude reduction of other household energy storage systems is generally 0.3kWh-0.8kWh, and therefore, the amplitude reduction of the household energy storage system is basically similar to the amplitude reduction of other household energy storage systems in the target region, and the household energy storage system can be judged to normally operate.
Optionally, the running condition of the home energy storage system of the second user in the target time period may be determined through related information actively uploaded by the user.
Step S308: and under the condition that the household energy storage system of the second user cannot stably supply power, generating an energy supplementing strategy aiming at the power utilization habit of the second user.
The energy supplementing strategy comprises a power changing strategy and/or a grid connection strategy.
Specifically, the electricity utilization habit of the second user is obtained;
estimating the electricity consumption of the second user in the residual time of the target time period according to the electricity consumption habit of the second user;
determining whether the line of the utility network of the second user can stably supply power;
under the condition that a household energy storage system of the second user and a line of a commercial power network cannot stably supply power, a first energy supplementing strategy corresponding to the second user is formulated, wherein the first energy supplementing strategy is a power conversion strategy which is determined according to the estimated power consumption of the second user in the residual time of a target time period, the power conversion strategy comprises a strategy for realizing energy supplementing by replacing a storage battery in the corresponding household energy storage system for the second user, and the grid-connected strategy comprises a strategy for realizing energy supplementing by supplying power to the household energy storage system of the second user through the commercial power network;
And under the condition that the line of the commercial power supply of the second user can supply power stably but the household energy storage system cannot supply power stably, formulating a second energy supplementing strategy corresponding to the second user, wherein the second energy supplementing strategy is a grid-connected strategy, and the grid-connected strategy is determined according to the estimated power consumption of the second user in the residual time of the target time period.
In an alternative embodiment, the specific formulation process of the first energy compensating strategy may be as follows:
determining that a storage battery is arranged in a household energy storage system of the second user;
determining the residual electric quantity of the storage battery;
determining the new capacity and the number of the storage battery required by power change according to the estimated power consumption of the second user in the residual time of the target time period and the residual power of the storage battery;
determining whether other users in the same area as the second user have a storage battery meeting the power change requirement of the second user;
under the condition that the other users have the storage battery meeting the power changing requirement of the second user, interacting with the other users to enable the other users to supply the storage battery for the second user;
Under the condition that the other users do not meet the battery with the power changing requirement of the second user, determining the energy supplementing time of the new battery according to the capacity and the quantity of the new battery with the power changing requirement of the second user;
determining the time when the storage battery in the household energy storage system can support power supply according to the residual electric quantity of the storage battery in the household energy storage system of the second user;
and according to the energy supplementing time of the new storage battery and the time of the storage battery in the household energy storage system capable of supporting power supply, a first energy supplementing strategy corresponding to the second user is formulated so that the second user uses the new storage battery before the electricity consumption of the storage battery is complete.
Through the process, the balance of the electric quantity supply of the users in the same area is realized, and the household electricity consumption of the users is ensured not to be influenced by extreme weather.
In an alternative embodiment, the process of making the second energy compensating strategy may be as follows:
determining an electricity price peak-valley time period, an electricity price flat time period and an electricity price valley time period based on the historical electricity price of the target region;
estimating the power supply quantity of a solar panel group of a photovoltaic power generation module in a household energy storage system according to the illumination condition of the target region in the target time period to obtain a target power generation gradient, wherein the target power generation gradient is used for representing the power generation quantity of the household energy storage system in different time periods of the day; it should be noted that, whether the second user can complete the power demand of the household appliance load only by using the household energy storage system may be determined based on the target power generation gradient and the power consumption of the second user, and the daily target power generation gradient may not be the same.
And formulating a second energy supplementing strategy according to the electricity price peak-valley time period, the electricity price flat time period, the electricity price low-valley time period and the target power generation gradient, wherein the second energy supplementing strategy comprises the following steps:
in the peak-valley period of electricity price, the solar panel set of the photovoltaic power generation module and the electric energy of the storage battery in the household energy storage system of the second user supply the household load of the second user, the redundant electric energy is sold on the basis of meeting the household load, the income related to the household energy storage system is increased, and specific current flows are shown in fig. 4, fig. 4 is a schematic diagram of the current flow of the household energy storage system, the household energy storage system comprises a photovoltaic power generation module and a storage battery module, the photovoltaic power generation module comprises the solar panel set, and the storage battery module comprises one or more storage batteries;
in the electricity price level period, the electric energy of the solar panel set and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, and on the basis of meeting the household load, redundant electric energy is sold or stored to the storage battery according to the proportion, and specific current flows are shown in fig. 5, and fig. 5 is a schematic diagram of the current flow of another household energy storage system provided by the embodiment of the present application;
Optionally, in the electricity price level period, the ratio of selling and storing the redundant electric energy is obtained by adjusting the bearing capacity of the storage battery or the real-time electricity price, for example: the generating capacity of the household energy storage system of the second user in the electricity price period can be determined based on the target generating gradient, further, if the generating capacity of the household energy storage system in the electricity price period exceeds the power consumption of the household appliance load, the generating capacity exceeding the part is calculated, further, whether the electric energy storage system is in the electricity price valley period or not after the electricity price period is judged, if yes, the storage battery is fully charged through the electric energy and the mains supply of the solar panel group in the electricity price valley period, if yes, the generating capacity exceeding the part is sold, if not, the electric energy storable in the electricity price valley period through the electric energy and the mains supply of the solar panel group is calculated, and further, the electric quantity size needing to be charged of the storage battery in the electricity price period is calculated, so that the storage battery is fully charged right after the electric energy storage battery passes through the electricity price period and the electricity price valley period, and the surplus part needing the electric quantity needing to be charged of the storage battery is removed; if the electricity price period is not the electricity price valley period after the electricity price level period, all the redundant electric energy is conveyed into a storage battery for storage;
Optionally, in the electricity price level period, on the basis that the electric energy of the solar panel set and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, if the electric energy of the solar panel set and the storage battery in the household energy storage system cannot meet the household load of the second user, on the basis that the electric energy of the solar panel set and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, the household load of the second user is also supplied with power through a commercial power network;
in the electricity price valley period, the household load of the second user is supplied by the utility power network, and the storage battery stores energy by the electric energy of the solar panel set and the utility power, so that the energy consumption cost is reduced when the energy consumption system is used in the electricity price peak period, and the specific current flow is shown in fig. 6, and fig. 6 is a schematic diagram of the current flow of the household energy storage system according to the embodiment of the present application.
In an alternative embodiment, the second user may select a mode that the power-exchanging strategy and the grid-connected strategy are performed simultaneously, so as to avoid the situation that the household energy storage system cannot be completely supplied to the household appliance due to temporary damage of the electric supply network.
Step S309: and supplementing energy to the second user through the energy supplementing strategy.
If the energy supplementing strategy of the second user is the first energy supplementing strategy, after the corresponding energy supplementing strategy is determined, the corresponding storage battery is distributed to the second user; and if the energy supplementing strategy of the second user is the second energy supplementing strategy, after the corresponding energy supplementing strategy is determined, adjusting the control state of the inverter in different electricity price time periods.
According to the method and the device for the power supply of the household power supply, through prediction of extreme weather, the first user needing to assist power supply and the second user not needing to assist power supply are determined, and a personalized energy supplementing strategy is formulated for the first user needing to assist power supply in advance, so that the situation that the first user cannot meet the power consumption requirement of the household under the influence of the extreme weather is avoided, and further, corresponding personalized energy supplementing strategies are formulated for users who have suffered from the extreme weather in the second user, and the cost loss of household power consumption is reduced for the users under the extreme weather.
The foregoing details the method of embodiments of the present application, and the apparatus of embodiments of the present application is provided below.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an energy information processing apparatus 70 for a home energy storage system according to an embodiment of the present application, where the apparatus 70 may be a cloud server or a device in the cloud server, and the energy information processing apparatus 70 for a home energy storage system may include a prediction unit 701, a first determining unit 702, an interaction unit 703, a generating unit 704, a receiving unit 705, a distribution unit 706, a second determining unit 707, a formulating unit 708, and an energy supplementing unit 709, where the detailed descriptions of the respective units are as follows.
The prediction unit 701 is configured to predict that the target region has extreme weather information in the target time period, where the extreme weather information includes weather that can affect normal operation of the home energy storage system;
a first determining unit 702, configured to determine that a user installing a home energy storage system exists in the target area;
an interaction unit 703, configured to interact with a user who has a home energy storage system installed in the target area before the target time period, so as to determine a first user who needs to assist in power supply and a second user who does not need to assist in power supply;
a generating unit 704, configured to generate a pre-order, and send the pre-order to the first user, where the pre-order includes a predicted size and number of storage battery capacities required by the first user;
a receiving unit 705, configured to receive a confirmation message for the pre-order sent by the first user;
a delivery unit 706 for delivering the storage battery corresponding to the pre-order to the first user before the target period;
a second determining unit 707 configured to determine, during the target period of time, whether the home energy storage system of the second user is capable of stably supplying power;
A formulating unit 708, configured to generate, in a case where the home energy storage system of the second user cannot stably supply power, an energy supplementing policy for a power consumption habit of the second user, where the energy supplementing policy includes a power conversion policy and/or a grid-connected policy, the power conversion policy includes a policy of implementing energy supplementing by replacing a battery in a corresponding home energy storage system for the second user, and the grid-connected policy includes a policy of implementing energy supplementing by supplying power to the home energy storage system of the second user through a utility network;
and an energy supplementing unit 709, configured to supplement energy to the second user through the energy supplementing policy.
In a possible implementation manner, the generating unit 704 is configured to:
determining the electricity consumption habit of the first user, wherein the electricity consumption habit is used for representing the electricity consumption of the first user in different time periods in a day;
estimating the target electricity consumption of the first user in the target time period according to the duration of the extreme weather information and the electricity consumption habit of the first user;
determining a remaining capacity of a battery in a home energy storage system of the first user;
and determining the capacity and the quantity of the storage battery required by the first user according to the target power consumption and the residual power of the storage battery in the household energy storage system of the first user.
In a possible implementation manner, the second determining unit 707 is configured to:
receiving energy storage information of a household energy storage system of the second user in a target time period, wherein the energy storage information comprises power supply quantity and a power supply time point;
and determining the operation condition of the household energy storage system of the second user in the target time period according to the energy storage information, wherein the operation condition comprises normal operation, abnormal operation or stop operation, the abnormal operation is used for representing the condition that the household energy storage system is partially damaged but still can supply power, and the stop operation is used for representing the condition that the household energy storage system is completely damaged and cannot supply power.
In a possible implementation manner, the formulating unit 708 is configured to:
acquiring the electricity utilization habit of the second user;
estimating the electricity consumption of the second user in the residual time of the target time period according to the electricity consumption habit of the second user;
determining whether the line of the utility network of the second user can stably supply power;
under the condition that a household energy storage system and a commercial network circuit of the second user cannot stably supply power, a first energy supplementing strategy corresponding to the second user is formulated, wherein the first energy supplementing strategy is a power changing strategy which is determined according to the estimated power consumption of the second user in the residual time of a target time period;
And under the condition that the line of the commercial power supply of the second user can supply power stably but the household energy storage system cannot supply power stably, formulating a second energy supplementing strategy corresponding to the second user, wherein the second energy supplementing strategy is a grid-connected strategy, and the grid-connected strategy is determined according to the estimated power consumption of the second user in the residual time of the target time period.
In a possible implementation manner, in a case where the line of the electric network of the second user can stably supply power, but the home energy storage system cannot stably supply power, the formulating unit 708 is specifically configured to:
determining an electricity price peak-valley time period, an electricity price flat time period and an electricity price valley time period based on the historical electricity price of the target region;
estimating the power supply quantity of a solar panel group in a household energy storage system according to the illumination condition of the target region in the target time period to obtain a target power generation gradient, wherein the target power generation gradient is used for representing the power generation quantity of the household energy storage system in different time periods of the day;
and formulating a second energy supplementing strategy according to the electricity price peak-valley time period, the electricity price flat time period, the electricity price low-valley time period and the target power generation gradient, wherein the second energy supplementing strategy comprises the following steps:
In the peak-valley period of electricity price, the electric energy of the solar panel group and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, and redundant electric energy is sold on the basis of meeting the household load;
in the electric price level period, the electric energy of the solar panel group and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, and redundant electric energy is sold or stored to the storage battery according to the proportion on the basis of meeting the household load;
in the low electricity price period, the household load of the second user is supplied by a commercial power network, and the storage battery stores energy by the electric energy of the solar panel set and the commercial power so as to be used in the high electricity price period.
In a possible implementation manner, in a case that the home energy storage system and the line of the electric network of the second user cannot stably supply power, the formulating unit 708 is specifically configured to:
determining that a storage battery is arranged in a household energy storage system of the second user;
determining the residual electric quantity of the storage battery;
Determining the new capacity and the number of the storage battery required by power change according to the estimated power consumption of the second user in the residual time of the target time period and the residual power of the storage battery;
determining whether other users in the same area as the second user have a storage battery meeting the power change requirement of the second user;
under the condition that the other users have the storage battery meeting the power changing requirement of the second user, interacting with the other users to enable the other users to supply the storage battery for the second user;
under the condition that the other users do not meet the battery with the power changing requirement of the second user, determining the energy supplementing time of the new battery according to the capacity and the quantity of the new battery with the power changing requirement of the second user;
determining the time when the storage battery in the household energy storage system can support power supply according to the residual electric quantity of the storage battery in the household energy storage system of the second user;
and according to the energy supplementing time of the new storage battery and the time of the storage battery in the household energy storage system capable of supporting power supply, a first energy supplementing strategy corresponding to the second user is formulated so that the second user uses the new storage battery before the electricity consumption of the storage battery is complete.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an energy information processing device 80 for a home energy storage system according to an embodiment of the present application, where the energy information processing device 80 for a home energy storage system includes: a processor 801, a communication interface 802, and a memory 803. The processor 801, the communication interface 802, and the memory 803 may be connected by a bus or other means, which is exemplified in the embodiment of the present application.
The processor 801 is a computing core and a control core of the energy information processing device 80 for a home energy storage system, and can analyze various instructions in the energy information processing device 80 for the home energy storage system and various data of the energy information processing device 80 for the home energy storage system, for example: the processor 801 may be a central processing unit (Central Processing Unit, CPU), may transmit various types of interaction data between the internal structures of the energy information processing device 80 for the home energy storage system, and the like. Communication interface 802 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI, mobile communication interface, etc.), and may be controlled by processor 801 to receive and transmit data; the communication interface 802 may also be used for transmission and interaction of signaling or instructions within the energy information processing device 80 for the home energy storage system. The Memory 803 (Memory) is a Memory device in the energy information processing device 80 for a home energy storage system, for storing programs and data. It will be appreciated that the memory 803 here may include both a built-in memory of the energy information processing device 80 for a home energy storage system and an extended memory supported by the energy information processing device 80 for a home energy storage system. The memory 803 provides a storage space storing an operating system of the energy information processing apparatus 80 for a home energy storage system, and also storing program codes or instructions required for a processor to perform corresponding operations, and optionally, storing related data generated after the processor performs the corresponding operations.
In the present embodiment, the processor 801 executes executable program code in the memory 803 for performing the following operations:
predicting that the target region has extreme weather information in a target time period, wherein the extreme weather information comprises weather which can influence the normal operation of a household energy storage system;
determining that a user installing a home energy storage system exists in the target area;
before the target time period, interacting with a user who has a home energy storage system installed in the target area to determine a first user needing assistance in power supply and a second user needing no assistance in power supply;
generating a pre-order, and sending the pre-order to the first user, wherein the pre-order comprises the estimated size and quantity of the storage battery capacity required by the first user;
receiving a confirmation message for the pre-order sent by the first user;
before the target time period, delivering a storage battery corresponding to the pre-order to the first user;
determining whether the home energy storage system of the second user can stably supply power in the target time period;
generating an energy supplementing strategy aiming at the electricity utilization habit of the second user under the condition that the household energy storage system of the second user cannot stably supply electricity, wherein the energy supplementing strategy comprises an electricity changing strategy and/or a grid-connected strategy, the electricity changing strategy comprises a strategy for realizing energy supplementing by changing a storage battery in a corresponding household energy storage system for the second user, and the grid-connected strategy comprises a strategy for supplying electricity to the household energy storage system of the second user through a power supply network so as to realize energy supplementing;
And supplementing energy to the second user through the energy supplementing strategy.
In an alternative, the generating a reservation unilateral, the processor 801 is further configured to:
determining the electricity consumption habit of the first user, wherein the electricity consumption habit is used for representing the electricity consumption of the first user in different time periods in a day;
estimating the target electricity consumption of the first user in the target time period according to the duration of the extreme weather information and the electricity consumption habit of the first user;
determining a remaining capacity of a battery in a home energy storage system of the first user;
and determining the capacity and the quantity of the storage battery required by the first user according to the target power consumption and the residual power of the storage battery in the household energy storage system of the first user.
In an alternative, during the target time period, determining whether the energy storage system of the second user is capable of stably supplying power, the processor 801 is further configured to:
receiving energy storage information of a household energy storage system of the second user in a target time period, wherein the energy storage information comprises power supply quantity and a power supply time point;
and determining the operation condition of the household energy storage system of the second user in the target time period according to the energy storage information, wherein the operation condition comprises normal operation, abnormal operation or stop operation, the abnormal operation is used for representing the condition that the household energy storage system is partially damaged but still can supply power, and the stop operation is used for representing the condition that the household energy storage system is completely damaged and cannot supply power.
In an alternative, in the case that the household energy storage system of the second user cannot stably supply power, the processor 801 is further configured to, in terms of formulating an energy replenishment policy for the power utilization habit of the second user:
acquiring the electricity utilization habit of the second user;
estimating the electricity consumption of the second user in the residual time of the target time period according to the electricity consumption habit of the second user;
determining whether the line of the utility network of the second user can stably supply power;
under the condition that a household energy storage system and a commercial network circuit of the second user cannot stably supply power, a first energy supplementing strategy corresponding to the second user is formulated, wherein the first energy supplementing strategy is a power changing strategy which is determined according to the estimated power consumption of the second user in the residual time of a target time period;
and under the condition that the line of the commercial power supply of the second user can supply power stably but the household energy storage system cannot supply power stably, formulating a second energy supplementing strategy corresponding to the second user, wherein the second energy supplementing strategy is a grid-connected strategy, and the grid-connected strategy is determined according to the estimated power consumption of the second user in the residual time of the target time period.
In an alternative, in a case where the line of the electric network of the second user can stably supply power, but the home energy storage system cannot stably supply power, the processor 801 is further configured to:
determining an electricity price peak-valley time period, an electricity price flat time period and an electricity price valley time period based on the historical electricity price of the target region;
estimating the power supply quantity of a solar panel group in a household energy storage system according to the illumination condition of the target region in the target time period to obtain a target power generation gradient, wherein the target power generation gradient is used for representing the power generation quantity of the household energy storage system in different time periods of the day;
and formulating a second energy supplementing strategy according to the electricity price peak-valley time period, the electricity price flat time period, the electricity price low-valley time period and the target power generation gradient, wherein the second energy supplementing strategy comprises the following steps:
in the peak-valley period of electricity price, the electric energy of the solar panel group and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, and redundant electric energy is sold on the basis of meeting the household load;
in the electric price level period, the electric energy of the solar panel group and the storage battery in the household energy storage system of the second user is supplied to the household load of the second user, and redundant electric energy is sold or stored to the storage battery according to the proportion on the basis of meeting the household load;
In the low electricity price period, the household load of the second user is supplied by a commercial power network, and the storage battery stores energy by the electric energy of the solar panel set and the commercial power so as to be used in the high electricity price period.
In an alternative, in a case where both the home energy storage system and the utility network line of the second user cannot stably supply power, the processor 801 is further configured to, in an aspect of formulating a first energy replenishment policy corresponding to the second user:
determining that a storage battery is arranged in a household energy storage system of the second user;
determining the residual electric quantity of the storage battery;
determining the new capacity and the number of the storage battery required by power change according to the estimated power consumption of the second user in the residual time of the target time period and the residual power of the storage battery;
determining whether other users in the same area as the second user have a storage battery meeting the power change requirement of the second user;
under the condition that the other users have the storage battery meeting the power changing requirement of the second user, interacting with the other users to enable the other users to supply the storage battery for the second user;
under the condition that the other users do not meet the battery with the power changing requirement of the second user, determining the energy supplementing time of the new battery according to the capacity and the quantity of the new battery with the power changing requirement of the second user;
Determining the time when the storage battery in the household energy storage system can support power supply according to the residual electric quantity of the storage battery in the household energy storage system of the second user;
and according to the energy supplementing time of the new storage battery and the time of the storage battery in the household energy storage system capable of supporting power supply, a first energy supplementing strategy corresponding to the second user is formulated so that the second user uses the new storage battery before the electricity consumption of the storage battery is complete.
It should be noted that the implementation of the respective operations may also correspond to the respective description with reference to the method embodiment shown in fig. 3.
Embodiments of the present application provide a computer readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform operations as performed by the embodiment of fig. 3.
Embodiments of the present application also provide a computer program product that, when run on a processor, performs the operations performed by the embodiment of fig. 3.
Those skilled in the art will appreciate that implementing all or part of the above-described embodiment methods may be accomplished by a program that instructs related hardware, and the program may be stored in a computer-readable storage medium, and the program may include the above-described embodiment methods when executed. And the aforementioned storage medium includes: various media capable of storing program code, such as ROM, RAM, magnetic or optical disks.
Claims (7)
1. The energy information processing method for the household energy storage system is characterized by being applied to a cloud server in an energy scheduling system, wherein the energy scheduling system comprises the cloud server and a plurality of household energy storage systems of a plurality of users, and the cloud server is in communication connection with each household energy storage system, and the method comprises the following steps:
predicting that the target region has extreme weather information in a target time period, wherein the extreme weather information comprises weather which can influence the normal operation of a household energy storage system, and the extreme weather information comprises rain and snow, flood or hail;
determining that a user installing a home energy storage system exists in the target area;
before the target time period, interacting with a user who installs a home energy storage system in the target area to determine a first user who needs assistance in power supply and a second user who does not need assistance in power supply;
generating a pre-order, and sending the pre-order to the first user, wherein the pre-order comprises the estimated size and quantity of the storage battery capacity required by the first user;
receiving a confirmation message for the pre-order sent by the first user;
Before the target time period, delivering a storage battery corresponding to the pre-order to the first user;
determining whether the home energy storage system of the second user can stably supply power in the target time period;
generating an energy supplementing strategy aiming at the electricity utilization habit of the second user under the condition that the household energy storage system of the second user cannot stably supply electricity, wherein the energy supplementing strategy comprises an electricity changing strategy and/or a grid-connected strategy, the electricity changing strategy comprises a strategy for realizing energy supplementing by changing a storage battery in a corresponding household energy storage system for the second user, and the grid-connected strategy comprises a strategy for supplying electricity to the household energy storage system of the second user through a power supply network so as to realize energy supplementing;
supplementing energy to the second user through the energy supplementing strategy;
wherein the generating a pre-order comprises:
determining the electricity consumption habit of the first user, wherein the electricity consumption habit is used for representing the electricity consumption of the first user in different time periods in a day;
estimating the target electricity consumption of the first user in the target time period according to the duration of the extreme weather information and the electricity consumption habit of the first user;
determining a remaining capacity of a battery in a home energy storage system of the first user;
And determining the capacity and the quantity of the storage battery required by the first user according to the target power consumption and the residual power of the storage battery in the household energy storage system of the first user.
2. The method of claim 1, wherein determining whether the second user's home energy storage system is stably powered during the target time period comprises:
receiving energy storage information of a household energy storage system of the second user in a target time period, wherein the energy storage information comprises power supply quantity and a power supply time point;
determining the operation condition of the household energy storage system of the second user in the target time period according to the energy storage information, wherein the operation condition comprises normal operation, abnormal operation or stop operation, the abnormal operation is used for representing the situation that the household energy storage system is partially damaged but still can supply power, the stop operation is used for representing the situation that the household energy storage system is completely damaged and cannot supply power, the normal operation represents that the household energy storage system can supply power stably, and the abnormal operation and the stop operation represent that the household energy storage system cannot supply power stably.
3. The method according to claim 1 or 2, wherein the generating an energy replenishment policy for the electricity usage habit of the second user in case the home energy storage system of the second user is unable to stably supply electricity, comprises:
Acquiring the electricity utilization habit of the second user;
estimating the electricity consumption of the second user in the residual time of the target time period according to the electricity consumption habit of the second user;
determining whether the line of the utility network of the second user can stably supply power;
under the condition that a household energy storage system and a commercial network circuit of the second user cannot stably supply power, a first energy supplementing strategy corresponding to the second user is formulated, wherein the first energy supplementing strategy is a power changing strategy which is determined according to the estimated power consumption of the second user in the residual time of a target time period;
and under the condition that the line of the commercial power supply of the second user can supply power stably but the household energy storage system cannot supply power stably, formulating a second energy supplementing strategy corresponding to the second user, wherein the second energy supplementing strategy is a grid-connected strategy, and the grid-connected strategy is determined according to the estimated power consumption of the second user in the residual time of the target time period.
4. A method according to claim 3, wherein, in the case that neither the home energy storage system of the second user nor the line of the utility network is able to supply power stably, the formulating of the first energy replenishment policy corresponding to the second user comprises:
Determining that a storage battery is arranged in a household energy storage system of the second user;
determining the residual electric quantity of the storage battery;
determining the new capacity and the number of the storage battery required by power change according to the estimated power consumption of the second user in the residual time of the target time period and the residual power of the storage battery;
determining whether other users in the same area as the second user have a storage battery meeting the power change requirement of the second user;
under the condition that the other users have the storage battery meeting the power changing requirement of the second user, interacting with the other users to enable the other users to supply the storage battery for the second user;
under the condition that the other users do not meet the battery with the power changing requirement of the second user, determining the energy supplementing time of the new battery according to the capacity and the quantity of the new battery with the power changing requirement of the second user;
determining the time when the storage battery in the household energy storage system can support power supply according to the residual electric quantity of the storage battery in the household energy storage system of the second user;
and according to the energy supplementing time of the new storage battery and the time of the storage battery in the household energy storage system capable of supporting power supply, a first energy supplementing strategy corresponding to the second user is formulated so that the second user uses the new storage battery before the electricity consumption of the storage battery is complete.
5. An energy information processing apparatus for a home energy storage system, the apparatus comprising:
the prediction unit is used for predicting that the target region has extreme weather information in a target time period, wherein the extreme weather information comprises weather which can influence the normal operation of the household energy storage system, and the extreme weather information comprises rain and snow, flood or hail;
a first determining unit, configured to determine that a user who installs a home energy storage system exists in the target area;
the interaction unit is used for interacting with a user who installs a household energy storage system in the target area before the target time period so as to determine a first user needing assistance in power supply and a second user needing no assistance in power supply;
the generation unit is used for generating a pre-order and sending the pre-order to the first user, wherein the pre-order comprises the estimated size and quantity of the storage battery capacity required by the first user;
the receiving unit is used for receiving a confirmation message for the pre-order sent by the first user;
a delivery unit for delivering a battery corresponding to the pre-order to the first user before the target period;
The second determining unit is used for determining whether the household energy storage system of the second user can stably supply power or not in the target time period;
the energy supplementing system comprises a formulating unit, a power supply unit and a power supply unit, wherein the formulating unit is used for generating an energy supplementing strategy aiming at the electricity utilization habit of the second user under the condition that the household energy storage system of the second user can not stably supply power, the energy supplementing strategy comprises a power exchanging strategy and/or a grid connection strategy, the power exchanging strategy comprises a strategy for realizing energy supplementing by exchanging a storage battery in a corresponding household energy storage system for the second user, and the grid connection strategy comprises a strategy for supplying power for the household energy storage system of the second user through a commercial power network so as to realize energy supplementing;
the energy supplementing unit is used for supplementing energy to the second user through the energy supplementing strategy;
the generating unit is specifically configured to:
determining the electricity consumption habit of the first user, wherein the electricity consumption habit is used for representing the electricity consumption of the first user in different time periods in a day;
estimating the target electricity consumption of the first user in the target time period according to the duration of the extreme weather information and the electricity consumption habit of the first user;
determining a remaining capacity of a battery in a home energy storage system of the first user;
And determining the capacity and the quantity of the storage battery required by the first user according to the target power consumption and the residual power of the storage battery in the household energy storage system of the first user.
6. An energy information processing device for a home energy storage system, characterized in that the energy information processing device for a home energy storage system comprises at least one processor, a communication interface for transmitting and/or receiving data, and a memory for storing a computer program, the at least one processor being adapted to invoke the computer program stored in the at least one memory for implementing the method according to any of claims 1-4.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when run on a processor, implements the method according to any of claims 1-4.
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