CN116885763A - Energy management device and method suitable for distributed energy storage system - Google Patents

Energy management device and method suitable for distributed energy storage system Download PDF

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Publication number
CN116885763A
CN116885763A CN202311149964.8A CN202311149964A CN116885763A CN 116885763 A CN116885763 A CN 116885763A CN 202311149964 A CN202311149964 A CN 202311149964A CN 116885763 A CN116885763 A CN 116885763A
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energy storage
energy
storage system
battery
determining
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CN116885763B (en
Inventor
谢朝晖
马玉山
乔正盛
郭丕龙
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SHENZHEN JIANWANG TECHNOLOGY CO LTD
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SHENZHEN JIANWANG TECHNOLOGY CO LTD
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/007188Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters
    • H02J7/007192Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention provides an energy management device and method suitable for a distributed energy storage system, which are characterized in that an energy scheduling strategy of the distributed energy storage system is determined according to the electricity demand of a user and in combination with the distribution deployment characteristics of the distributed energy storage system, the energy scheduling strategy is determined before power supply, reasonable use of the distributed energy storage system is realized, the energy storage configuration demand of the distributed energy storage system is determined according to the energy scheduling strategy, the energy input and output of the distributed energy storage system under the energy storage configuration demand are monitored to obtain monitoring data, the state of the distributed energy storage system in the operation process is determined and early warning and reminding are carried out according to the monitoring data, the energy storage data of the distributed energy storage system is combined with the early warning and reminding, the energy storage configuration demand is adjusted in real time based on the energy storage data of the distributed energy storage system, the adjustment of power supply configuration in the power supply process is realized, the safety of the power supply process is ensured, and the maximization of reasonable energy utilization and economy is realized.

Description

Energy management device and method suitable for distributed energy storage system
Technical Field
The present invention relates to the field of energy storage energy management technologies, and in particular, to an energy management device and method suitable for a distributed energy storage system.
Background
Along with the continuous increase of energy demand and the increase of environmental protection pressure, the distributed power supply is more and more widely applied, and can be charged and discharged according to intelligent power grid dispatching, so that the effects of orderly power utilization, demand side response, virtual power plants and peak clipping and valley filling are achieved.
The application number 202210692069.X Chinese patent discloses an energy management device and method suitable for a distributed energy storage system, solves the problems that an existing energy storage unit does not have on-site monitoring capability and lacks policy verification at the end of the energy storage system, and provides the energy management device suitable for the distributed energy storage system, wherein a monitoring module and an HMI are arranged and installed on the energy storage unit to perform on-site monitoring, so that sufficient convenience is provided for independent debugging, testing and fault investigation of a battery cluster; meanwhile, an energy management method suitable for the distributed energy storage system is provided, energy management strategy verification is carried out on the energy storage system locally, and an alarm is given to invalid strategy configuration, so that the risk of error or invalid strategy execution is reduced.
However, the invention lacks monitoring of energy scheduling and reasonable use of the distributed energy storage system, can not configure different energy storage demands for different users, and has the problems that the energy use is unreasonable and the economic benefit can not be maximized.
Disclosure of Invention
The invention provides an energy management device and method suitable for a distributed energy storage system, which are used for solving the problems in the background technology.
An energy management device suitable for use in a distributed energy storage system, comprising:
the strategy determining module is used for determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
the monitoring module is used for determining the energy storage configuration requirement of the distributed energy storage system according to the energy scheduling strategy, and monitoring the energy input and output of the distributed energy storage system under the energy storage configuration requirement to obtain monitoring data;
the early warning module is used for determining the state of the distributed energy storage system in the running process according to the monitoring data and carrying out early warning reminding;
and the adjusting module is used for adjusting the energy storage configuration requirement in real time based on the energy storage data of the distributed energy storage system and combining with early warning reminding.
Preferably, the policy determining module includes:
the characteristic acquisition unit is used for constructing a power utilization characteristic table between power utilization time, power utilization object and power utilization quantity based on the power utilization requirement of a user, and determining battery energy characteristics of each distribution point based on the distribution deployment characteristics of the distributed energy storage system;
and the characteristic matching unit is used for matching the electricity utilization characteristic table with the battery energy characteristic, and determining an energy scheduling strategy for the distributed energy storage system according to the matching result.
Preferably, the monitoring module comprises:
the information acquisition unit is used for determining the energy output time and the energy output value of each distribution point based on the energy scheduling strategy, and acquiring the current total stored energy value of each distribution point and the stored energy value of each battery pack in each distribution point;
a battery pack determining unit for determining a target battery pack participating in the user power supply based on the energy output time, the energy output value and the total stored energy value of each distribution point, and the stored energy value of each battery pack;
the configuration unit is used for determining the energy storage configuration requirement based on the parameters of the target battery pack, and supplying power to the user after the target battery pack is subjected to modularized plug-in connection according to the energy storage configuration requirement.
Preferably, the monitoring module further comprises:
the data acquisition unit is used for acquiring energy input and output values of the distributed energy storage system under the energy storage configuration requirement and acquiring operation parameters of each distribution point under the distributed energy storage system;
and the data cleaning unit is used for cleaning the data of the energy input and output value and the operation parameter to obtain a target energy input and output value and a target operation parameter, and the target energy input and output value and the target operation parameter are used as monitoring data.
Preferably, the early warning module includes:
the first judging unit is used for comparing the energy input/output value in the monitoring data with a preset energy input/output value according to the user requirement and judging whether the energy difference value is larger than the preset energy difference value or not;
if yes, determining that the power supply of the distributed energy storage system is abnormal, and carrying out first early warning reminding;
otherwise, determining that the distributed energy storage system is normal in power supply;
the second judging unit is used for comparing the difference value of the target operation parameter in the monitoring data with the standard operation parameter and judging whether the parameter difference value is larger than a preset parameter difference value or not;
if yes, determining that the distributed energy storage system is abnormal in operation, and carrying out second early warning reminding;
otherwise, determining that the distributed energy storage system is normal.
Preferably, the adjustment module includes:
the first analysis unit is used for acquiring the operation parameter value of the target battery pack in the distributed energy storage system when receiving the early warning prompt of abnormal power supply, judging whether the operation parameter value is abnormal, if so, marking the corresponding target battery pack as an abnormal battery pack, and carrying out similarity matching according to the battery self parameters of the abnormal battery pack and the battery self parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the second analysis unit is used for acquiring abnormal operation parameters with abnormality from target operation parameters when receiving the early warning prompt of the abnormal operation, acquiring the parameter types of the abnormal operation parameters, judging whether the operation environment is abnormal or the battery is abnormal based on the parameter types, if the operation environment is abnormal, determining environment regulation measures corresponding to the abnormal operation environment, and if the battery is abnormal, performing similarity matching according to the battery parameters of the abnormal battery and the battery parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the adjusting configuration unit is used for unbinding the modularized plug-in parameters of the abnormal battery pack in the storage configuration requirement, connecting the modularized plug-in parameters of the standby battery pack in the storage configuration requirement, and adding configuration information corresponding to the environment regulation and control measures in the storage configuration requirement.
Preferably, the feature matching unit includes:
the first matching unit is used for matching the electricity utilization time in the electricity utilization characteristic table with the energy value in the battery energy characteristic, and selecting a first distribution point with the energy value of the distribution point larger than a preset energy value when the electricity utilization time is selected;
the second matching unit is used for matching the position characteristics of the electric object with the position characteristics of the first distribution points, and selecting a second distribution point with the position matching smaller than a preset distance from the first distribution points;
the third matching unit is used for matching the whole electricity utilization characteristic table of the second distribution point with the battery energy characteristic to obtain a third distribution point with the whole matching degree larger than the preset matching degree;
the fourth matching unit is used for acquiring first other related information of the third distribution point, acquiring second other related information of the electricity demand, matching the first other related information with the second other related information according to historical electricity experience to acquire a related matching degree, and acquiring a fourth distribution point with the related matching degree larger than a preset related matching degree from the third distribution point;
the strategy analysis unit is used for determining a plurality of initial energy scheduling strategies based on the fourth distribution point, inputting the initial energy scheduling strategies into a preset strategy execution analysis model, and outputting the execution difficulty coefficients of the initial energy scheduling strategies;
the strategy analysis unit is also used for inputting an initial energy scheduling strategy into a preset economic benefit prediction model, and predicting to obtain a benefit coefficient of the initial energy scheduling model;
the strategy determining unit is used for acquiring power supply tasks of the distributed energy storage system, determining task levels of power supply demands of users in all the power supply tasks, calling power supply strategy reference rules corresponding to the task levels, scoring initial energy scheduling strategies according to the power supply strategy reference rules in combination with the execution difficulty coefficient and the benefit coefficient, and selecting the initial energy scheduling strategy with the highest score from the scoring result as a final energy scheduling strategy of the distributed energy storage system.
Preferably, the battery pack determination unit includes:
the energy judging unit is used for judging whether the total stored energy value is larger than the energy output value, if so, the battery pack at the distribution point does not need to be charged, otherwise, the battery pack at the distribution point is determined to need to be charged;
and the charging unit is used for modularly plugging all the battery packs at the distribution point when the battery packs at the distribution point are determined to be charged, so that the charging of all the battery packs is realized.
Preferably, the battery pack determination unit further includes:
the combination determining unit is used for determining a battery set meeting the energy output value based on the stored energy values of all the battery sets of the distribution points and acquiring the self parameters of each battery set in the battery set;
the evaluation unit is used for evaluating the charging performance and the charging efficiency of each battery pack based on the self parameters, determining the charging performance grade and the charging efficiency value, and determining the comprehensive charging performance grade and the comprehensive charging efficiency value of each battery pack set based on the charging performance grade and the charging efficiency value of each battery pack;
the combination selecting unit is used for determining a charging efficiency threshold value based on the energy output time, determining a charging performance comprehensive grade threshold value based on the power supply load, and selecting a first battery set to be selected, which is larger than the charging efficiency threshold value and the electrical performance comprehensive grade threshold value, from the battery sets;
the combination selecting unit is further used for obtaining the use frequency of each battery pack in the first battery pack set to be selected, taking the lowest use frequency in the first battery pack set to be selected as a target frequency, and selecting a second battery pack set to be selected, wherein the target frequency of the second battery pack set to be selected is larger than the preset frequency, from the first battery pack set to be selected;
the simulation unit is used for performing simulation configuration on the second battery set to be selected, determining the configuration difficulty according to the simulation result, selecting the second battery set to be selected with the lowest configuration difficulty as a target battery set, and taking the battery in the target battery set as a target battery for participating in power supply of a user.
An energy management method suitable for a distributed energy storage system, comprising:
s1: determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
s2: determining energy storage configuration requirements of the distributed energy storage system according to an energy scheduling strategy, and monitoring energy input and output of the distributed energy storage system under the energy storage configuration requirements to obtain monitoring data;
s3: according to the monitoring data, determining the state of the distributed energy storage system in the running process and carrying out early warning reminding;
s4: based on the energy storage data of the distributed energy storage system, the energy storage configuration requirements are adjusted in real time by combining with early warning reminding.
Compared with the prior art, the invention has the following beneficial effects:
the energy scheduling strategy of the distributed energy storage system is determined according to the electricity demand of a user and in combination with the distribution deployment characteristics of the distributed energy storage system, the energy scheduling strategy is determined before power supply, reasonable use of the distributed energy storage system is achieved, the energy storage configuration demand of the distributed energy storage system is determined according to the energy scheduling strategy, the energy input and output of the distributed energy storage system under the energy storage configuration demand are monitored, monitoring data are obtained, monitoring of the power supply process is achieved, a data basis is provided for timely adjusting the power supply strategy, the state of the distributed energy storage system in the operation process is determined and early warning and reminding are carried out according to the monitoring data, early warning and reminding are provided for timely adjusting the power supply strategy, the energy storage data based on the distributed energy storage system are combined with the early warning and reminding, real-time adjustment of the energy storage configuration demand is achieved, adjustment of the power supply configuration in the power supply process is achieved, safety of the power supply process is guaranteed, and maximization of reasonable use energy and economic benefits is achieved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of an energy management device suitable for use in a distributed energy storage system in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of a monitoring module according to an embodiment of the present invention;
FIG. 3 is a flow chart of an energy management method suitable for use in a distributed energy storage system in accordance with an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
an embodiment of the present invention provides an energy management apparatus suitable for a distributed energy storage system, as shown in fig. 1, including:
the strategy determining module is used for determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
the monitoring module is used for determining the energy storage configuration requirement of the distributed energy storage system according to the energy scheduling strategy, and monitoring the energy input and output of the distributed energy storage system under the energy storage configuration requirement to obtain monitoring data;
the early warning module is used for determining the state of the distributed energy storage system in the running process according to the monitoring data and carrying out early warning reminding;
and the adjusting module is used for adjusting the energy storage configuration requirement in real time based on the energy storage data of the distributed energy storage system and combining with early warning reminding.
In this embodiment, the distributed deployment features include the location of the distribution points, battery setting parameters, and the like.
In this embodiment, the energy storage configuration requirements provide support for enabling charging and discharging of the distributed energy storage system.
In this embodiment, the monitoring data includes parameters and operating environment data for the battery pack itself.
In this embodiment, the energy storage data is remaining capacity information of the battery pack.
The beneficial effects of above-mentioned design scheme are: the energy scheduling strategy of the distributed energy storage system is determined according to the electricity demand of a user and in combination with the distribution deployment characteristics of the distributed energy storage system, the energy scheduling strategy is determined before power supply, reasonable use of the distributed energy storage system is achieved, the energy storage configuration demand of the distributed energy storage system is determined according to the energy scheduling strategy, the energy input and output of the distributed energy storage system under the energy storage configuration demand are monitored, monitoring data are obtained, monitoring of the power supply process is achieved, a data basis is provided for timely adjusting the power supply strategy, the state of the distributed energy storage system in the operation process is determined and early warning and reminding are carried out according to the monitoring data, early warning and reminding are provided for timely adjusting the power supply strategy, the energy storage data based on the distributed energy storage system are combined with the early warning and reminding, real-time adjustment of the energy storage configuration demand is achieved, adjustment of the power supply configuration in the power supply process is achieved, safety of the power supply process is guaranteed, and maximization of reasonable use energy and economic benefits is achieved.
Example 2:
based on embodiment 1, an embodiment of the present invention provides an energy management device applicable to a distributed energy storage system, and a policy determining module, including:
the characteristic acquisition unit is used for constructing a power utilization characteristic table between power utilization time, power utilization object and power utilization quantity based on the power utilization requirement of a user, and determining battery energy characteristics of each distribution point based on the distribution deployment characteristics of the distributed energy storage system;
and the characteristic matching unit is used for matching the electricity utilization characteristic table with the battery energy characteristic, and determining an energy scheduling strategy for the distributed energy storage system according to the matching result.
In this embodiment, matching the electricity usage profile to the battery energy profile includes matching in multiple dimensions.
The beneficial effects of above-mentioned design scheme are: the energy scheduling strategy of the distributed energy storage system is determined according to the electricity consumption requirement of the user and in combination with the distribution deployment characteristics of the distributed energy storage system, and the energy scheduling strategy is determined before power is supplied, so that the reasonable use of the distributed energy storage system is realized, and the electricity consumption requirement of the user is met.
Example 3:
based on embodiment 1, an embodiment of the present invention provides an energy management device suitable for a distributed energy storage system, as shown in fig. 2, a monitoring module, including:
the information acquisition unit is used for determining the energy output time and the energy output value of each distribution point based on the energy scheduling strategy, and acquiring the current total stored energy value of each distribution point and the stored energy value of each battery pack in each distribution point;
a battery pack determining unit for determining a target battery pack participating in the user power supply based on the energy output time, the energy output value and the total stored energy value of each distribution point, and the stored energy value of each battery pack;
the configuration unit is used for determining the energy storage configuration requirement based on the parameters of the target battery pack, and supplying power to the user after the target battery pack is subjected to modularized plug-in connection according to the energy storage configuration requirement.
In this embodiment, after determining the distribution points, the energy storage system of the distribution points is formed by a plurality of battery packs in a modularized manner, so that the access of the battery packs can be flexibly determined according to the electricity demand.
The beneficial effects of above-mentioned design scheme are: after the output energy of the distribution point is determined, a final target battery pack is determined according to the characteristics of the battery packs in the distribution point, the energy storage configuration requirement is determined based on the parameters of the target battery pack, and the power is supplied to a user after the target battery pack is subjected to modularized plug-in connection according to the energy storage configuration requirement, so that the energy of the distributed energy storage system is accurately managed and distributed.
Example 4:
based on embodiment 1, an embodiment of the present invention provides an energy management device suitable for a distributed energy storage system, a monitoring module, and further includes:
the data acquisition unit is used for acquiring energy input and output values of the distributed energy storage system under the energy storage configuration requirement and acquiring operation parameters of each distribution point under the distributed energy storage system;
and the data cleaning unit is used for cleaning the data of the energy input and output value and the operation parameter to obtain a target energy input and output value and a target operation parameter, and the target energy input and output value and the target operation parameter are used as monitoring data.
The beneficial effects of above-mentioned design scheme are: the data monitoring of the power supply process of the distributed energy storage system is realized by collecting the energy input and output values of the distributed energy storage system under the energy storage configuration requirement and the operation parameters of each distribution point under the energy storage system and cleaning the data, so that a foundation is provided for reasonable adjustment of the power supply strategy.
Example 5:
based on embodiment 1, an embodiment of the present invention provides an energy management device suitable for a distributed energy storage system, and an early warning module, including:
the first judging unit is used for comparing the energy input/output value in the monitoring data with a preset energy input/output value according to the user requirement and judging whether the energy difference value is larger than the preset energy difference value or not;
if yes, determining that the power supply of the distributed energy storage system is abnormal, and carrying out first early warning reminding;
otherwise, determining that the distributed energy storage system is normal in power supply;
the second judging unit is used for comparing the difference value of the target operation parameter in the monitoring data with the standard operation parameter and judging whether the parameter difference value is larger than a preset parameter difference value or not;
if yes, determining that the distributed energy storage system is abnormal in operation, and carrying out second early warning reminding;
otherwise, determining that the distributed energy storage system is normal.
The beneficial effects of above-mentioned design scheme are: determining the abnormal power supply condition of the distributed energy storage system according to the comparison result of the preset energy difference value and the energy input and output value, carrying out first early warning reminding, and judging whether the parameter difference value is larger than the preset parameter difference value or not by comparing the difference value of the target operation parameter in the monitoring data with the standard operation parameter; if so, determining that the distributed energy storage system is abnormal in operation, and carrying out second early warning reminding, otherwise, determining that the distributed energy storage system is normal in operation, and realizing early warning reminding of abnormal conditions in the power supply process, so as to help to find out the abnormality in time and carry out adjustment.
Example 6:
based on embodiment 1, an embodiment of the present invention provides an energy management device applicable to a distributed energy storage system, and an adjustment module, including:
the first analysis unit is used for acquiring the operation parameter value of the target battery pack in the distributed energy storage system when receiving the early warning prompt of abnormal power supply, judging whether the operation parameter value is abnormal, if so, marking the corresponding target battery pack as an abnormal battery pack, and carrying out similarity matching according to the battery self parameters of the abnormal battery pack and the battery self parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the second analysis unit is used for acquiring abnormal operation parameters with abnormality from target operation parameters when receiving the early warning prompt of the abnormal operation, acquiring the parameter types of the abnormal operation parameters, judging whether the operation environment is abnormal or the battery is abnormal based on the parameter types, if the operation environment is abnormal, determining environment regulation measures corresponding to the abnormal operation environment, and if the battery is abnormal, performing similarity matching according to the battery parameters of the abnormal battery and the battery parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the adjusting configuration unit is used for unbinding the modularized plug-in parameters of the abnormal battery pack in the storage configuration requirement, connecting the modularized plug-in parameters of the standby battery pack in the storage configuration requirement, and adding configuration information corresponding to the environment regulation and control measures in the storage configuration requirement.
In an embodiment, for example, when the parameter type of the abnormal operation parameter is temperature, the corresponding environmental regulation measure is a cooling operation.
The beneficial effects of above-mentioned design scheme are: when the power supply process is abnormal, the abnormal data are analyzed to determine the environmental regulation measures and replace the battery pack, so that the storage configuration requirement is adjusted, the power supply process is smoothly carried out, and the maximization of reasonable energy utilization and economic benefit is realized.
Example 7:
based on embodiment 2, an embodiment of the present invention provides an energy management device applicable to a distributed energy storage system, and a feature matching unit, including:
the first matching unit is used for matching the electricity utilization time in the electricity utilization characteristic table with the energy value in the battery energy characteristic, and selecting a first distribution point with the energy value of the distribution point larger than a preset energy value when the electricity utilization time is selected;
the second matching unit is used for matching the position characteristics of the electric object with the position characteristics of the first distribution points, and selecting a second distribution point with the position matching smaller than a preset distance from the first distribution points;
the third matching unit is used for matching the whole electricity utilization characteristic table of the second distribution point with the battery energy characteristic to obtain a third distribution point with the whole matching degree larger than the preset matching degree;
the fourth matching unit is used for acquiring first other related information of the third distribution point, acquiring second other related information of the electricity demand, matching the first other related information with the second other related information according to historical electricity experience to acquire a related matching degree, and acquiring a fourth distribution point with the related matching degree larger than a preset related matching degree from the third distribution point;
the strategy analysis unit is used for determining a plurality of initial energy scheduling strategies based on the fourth distribution point, inputting the initial energy scheduling strategies into a preset strategy execution analysis model, and outputting the execution difficulty coefficients of the initial energy scheduling strategies;
the strategy analysis unit is also used for inputting an initial energy scheduling strategy into a preset economic benefit prediction model, and predicting to obtain a benefit coefficient of the initial energy scheduling model;
the strategy determining unit is used for acquiring power supply tasks of the distributed energy storage system, determining task levels of power supply demands of users in all the power supply tasks, calling power supply strategy reference rules corresponding to the task levels, scoring initial energy scheduling strategies according to the power supply strategy reference rules in combination with the execution difficulty coefficient and the benefit coefficient, and selecting the initial energy scheduling strategy with the highest score from the scoring result as a final energy scheduling strategy of the distributed energy storage system.
The beneficial effects of above-mentioned design scheme are: the power utilization characteristic table and the battery energy characteristic are matched in multiple dimensions, screening is conducted layer by layer to obtain a fourth distribution point, and then reasonable selection is conducted according to the whole power supply task of the distributed energy storage system from the two aspects of execution difficulty and income, so that the overall income maximization of the distributed energy storage system is ensured, reasonable use of the distributed energy storage system is achieved, and the power utilization requirement of a user is met.
Example 8:
based on embodiment 3, an embodiment of the present invention provides an energy management device applicable to a distributed energy storage system, a battery pack determining unit, including:
the energy judging unit is used for judging whether the total stored energy value is larger than the energy output value, if so, the battery pack at the distribution point does not need to be charged, otherwise, the battery pack at the distribution point is determined to need to be charged;
and the charging unit is used for modularly plugging all the battery packs at the distribution point when the battery packs at the distribution point are determined to be charged, so that the charging of all the battery packs is realized.
The beneficial effect of above-mentioned design scheme is that the group battery that does not satisfy the requirement to the electric quantity charges in time before distributed energy storage system supplies power, guarantees going on smoothly of distributed energy storage system power supply process.
Example 9:
based on embodiment 3, an embodiment of the present invention provides an energy management device applicable to a distributed energy storage system, and a battery pack determining unit, further including:
the combination determining unit is used for determining a battery set meeting the energy output value based on the stored energy values of all the battery sets of the distribution points and acquiring the self parameters of each battery set in the battery set;
the evaluation unit is used for evaluating the charging performance and the charging efficiency of each battery pack based on the self parameters, determining the charging performance grade and the charging efficiency value, and determining the comprehensive charging performance grade and the comprehensive charging efficiency value of each battery pack set based on the charging performance grade and the charging efficiency value of each battery pack;
the combination selecting unit is used for determining a charging efficiency threshold value based on the energy output time, determining a charging performance comprehensive grade threshold value based on the power supply load, and selecting a first battery set to be selected, which is larger than the charging efficiency threshold value and the electrical performance comprehensive grade threshold value, from the battery sets;
the combination selecting unit is further used for obtaining the use frequency of each battery pack in the first battery pack set to be selected, taking the lowest use frequency in the first battery pack set to be selected as a target frequency, and selecting a second battery pack set to be selected, wherein the target frequency of the second battery pack set to be selected is larger than the preset frequency, from the first battery pack set to be selected;
the simulation unit is used for performing simulation configuration on the second battery set to be selected, determining the configuration difficulty according to the simulation result, selecting the second battery set to be selected with the lowest configuration difficulty as a target battery set, and taking the battery in the target battery set as a target battery for participating in power supply of a user.
The beneficial effects of above-mentioned design scheme are: the charging performance and the charging efficiency of each battery pack are evaluated according to the parameters, the charging performance grade and the charging efficiency value are determined, the charging performance comprehensive grade and the charging efficiency comprehensive value of each battery pack set are determined based on the charging performance grade and the charging efficiency value of each battery pack, the battery pack sets are screened from the two aspects, the simulation configuration is finally carried out, the configuration difficulty is determined according to the simulation result, the second battery pack set to be selected with the lowest configuration difficulty is selected to serve as the target battery pack set, the battery packs in the target battery pack set serve as target battery packs for participating in power supply of users, optimal selection of the target battery packs for participating in power supply of the users is achieved, and accurate management and distribution of energy of the distributed energy storage system are achieved.
Example 10:
an embodiment of the present invention provides an energy management method suitable for a distributed energy storage system, as shown in fig. 3, including:
s1: determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
s2: determining energy storage configuration requirements of the distributed energy storage system according to an energy scheduling strategy, and monitoring energy input and output of the distributed energy storage system under the energy storage configuration requirements to obtain monitoring data;
s3: according to the monitoring data, determining the state of the distributed energy storage system in the running process and carrying out early warning reminding;
s4: based on the energy storage data of the distributed energy storage system, the energy storage configuration requirements are adjusted in real time by combining with early warning reminding.
In this embodiment, the distributed deployment features include the location of the distribution points, battery setting parameters, and the like.
In this embodiment, the energy storage configuration requirements provide support for enabling charging and discharging of the distributed energy storage system.
In this embodiment, the monitoring data includes parameters and operating environment data for the battery pack itself.
In this embodiment, the energy storage data is remaining capacity information of the battery pack.
The beneficial effects of above-mentioned design scheme are: the energy scheduling strategy of the distributed energy storage system is determined according to the electricity demand of a user and in combination with the distribution deployment characteristics of the distributed energy storage system, the energy scheduling strategy is determined before power supply, reasonable use of the distributed energy storage system is achieved, the energy storage configuration demand of the distributed energy storage system is determined according to the energy scheduling strategy, the energy input and output of the distributed energy storage system under the energy storage configuration demand are monitored, monitoring data are obtained, monitoring of the power supply process is achieved, a data basis is provided for timely adjusting the power supply strategy, the state of the distributed energy storage system in the operation process is determined and early warning and reminding are carried out according to the monitoring data, early warning and reminding are provided for timely adjusting the power supply strategy, the energy storage data based on the distributed energy storage system are combined with the early warning and reminding, real-time adjustment of the energy storage configuration demand is achieved, adjustment of the power supply configuration in the power supply process is achieved, safety of the power supply process is guaranteed, and maximization of reasonable use energy and economic benefits is achieved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. An energy management device for a distributed energy storage system, comprising:
the strategy determining module is used for determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
the monitoring module is used for determining the energy storage configuration requirement of the distributed energy storage system according to the energy scheduling strategy, and monitoring the energy input and output of the distributed energy storage system under the energy storage configuration requirement to obtain monitoring data;
the early warning module is used for determining the state of the distributed energy storage system in the running process according to the monitoring data and carrying out early warning reminding;
and the adjusting module is used for adjusting the energy storage configuration requirement in real time based on the energy storage data of the distributed energy storage system and combining with early warning reminding.
2. The energy management device of claim 1, wherein the policy determination module comprises:
the characteristic acquisition unit is used for constructing a power utilization characteristic table between power utilization time, power utilization object and power utilization quantity based on the power utilization requirement of a user, and determining battery energy characteristics of each distribution point based on the distribution deployment characteristics of the distributed energy storage system;
and the characteristic matching unit is used for matching the electricity utilization characteristic table with the battery energy characteristic, and determining an energy scheduling strategy for the distributed energy storage system according to the matching result.
3. The energy management device of claim 1, wherein the monitoring module comprises:
the information acquisition unit is used for determining the energy output time and the energy output value of each distribution point based on the energy scheduling strategy, and acquiring the current total stored energy value of each distribution point and the stored energy value of each battery pack in each distribution point;
a battery pack determining unit for determining a target battery pack participating in the user power supply based on the energy output time, the energy output value and the total stored energy value of each distribution point, and the stored energy value of each battery pack;
the configuration unit is used for determining the energy storage configuration requirement based on the parameters of the target battery pack, and supplying power to the user after the target battery pack is subjected to modularized plug-in connection according to the energy storage configuration requirement.
4. The energy management device of claim 1, wherein the monitoring module further comprises:
the data acquisition unit is used for acquiring energy input and output values of the distributed energy storage system under the energy storage configuration requirement and acquiring operation parameters of each distribution point under the distributed energy storage system;
and the data cleaning unit is used for cleaning the data of the energy input and output value and the operation parameter to obtain a target energy input and output value and a target operation parameter, and the target energy input and output value and the target operation parameter are used as monitoring data.
5. The energy management device of claim 1, wherein the pre-warning module comprises:
the first judging unit is used for comparing the energy input/output value in the monitoring data with a preset energy input/output value according to the user requirement and judging whether the energy difference value is larger than the preset energy difference value or not;
if yes, determining that the power supply of the distributed energy storage system is abnormal, and carrying out first early warning reminding;
otherwise, determining that the distributed energy storage system is normal in power supply;
the second judging unit is used for comparing the difference value of the target operation parameter in the monitoring data with the standard operation parameter and judging whether the parameter difference value is larger than a preset parameter difference value or not;
if yes, determining that the distributed energy storage system is abnormal in operation, and carrying out second early warning reminding;
otherwise, determining that the distributed energy storage system is normal.
6. The energy management device of claim 1, wherein the adjustment module comprises:
the first analysis unit is used for acquiring the operation parameter value of the target battery pack in the distributed energy storage system when receiving the early warning prompt of abnormal power supply, judging whether the operation parameter value is abnormal, if so, marking the corresponding target battery pack as an abnormal battery pack, and carrying out similarity matching according to the battery self parameters of the abnormal battery pack and the battery self parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the second analysis unit is used for acquiring abnormal operation parameters with abnormality from target operation parameters when receiving the early warning prompt of the abnormal operation, acquiring the parameter types of the abnormal operation parameters, judging whether the operation environment is abnormal or the battery is abnormal based on the parameter types, if the operation environment is abnormal, determining environment regulation measures corresponding to the abnormal operation environment, and if the battery is abnormal, performing similarity matching according to the battery parameters of the abnormal battery and the battery parameters of all battery packs at the distribution point to obtain a standby battery pack with highest matching degree;
the adjusting configuration unit is used for unbinding the modularized plug-in parameters of the abnormal battery pack in the storage configuration requirement, connecting the modularized plug-in parameters of the standby battery pack in the storage configuration requirement, and adding configuration information corresponding to the environment regulation and control measures in the storage configuration requirement.
7. The energy management device of claim 2, wherein the feature matching unit comprises:
the first matching unit is used for matching the electricity utilization time in the electricity utilization characteristic table with the energy value in the battery energy characteristic, and selecting a first distribution point with the energy value of the distribution point larger than a preset energy value when the electricity utilization time is selected;
the second matching unit is used for matching the position characteristics of the electric object with the position characteristics of the first distribution points, and selecting a second distribution point with the position matching smaller than a preset distance from the first distribution points;
the third matching unit is used for matching the whole electricity utilization characteristic table of the second distribution point with the battery energy characteristic to obtain a third distribution point with the whole matching degree larger than the preset matching degree;
the fourth matching unit is used for acquiring first other related information of the third distribution point, acquiring second other related information of the electricity demand, matching the first other related information with the second other related information according to historical electricity experience to acquire a related matching degree, and acquiring a fourth distribution point with the related matching degree larger than a preset related matching degree from the third distribution point;
the strategy analysis unit is used for determining a plurality of initial energy scheduling strategies based on the fourth distribution point, inputting the initial energy scheduling strategies into a preset strategy execution analysis model, and outputting the execution difficulty coefficients of the initial energy scheduling strategies;
the strategy analysis unit is also used for inputting an initial energy scheduling strategy into a preset economic benefit prediction model, and predicting to obtain a benefit coefficient of the initial energy scheduling model;
the strategy determining unit is used for acquiring power supply tasks of the distributed energy storage system, determining task levels of power supply demands of users in all the power supply tasks, calling power supply strategy reference rules corresponding to the task levels, scoring initial energy scheduling strategies according to the power supply strategy reference rules in combination with the execution difficulty coefficient and the benefit coefficient, and selecting the initial energy scheduling strategy with the highest score from the scoring result as a final energy scheduling strategy of the distributed energy storage system.
8. The energy management apparatus for a distributed energy storage system of claim 3, wherein the battery pack determination unit comprises:
the energy judging unit is used for judging whether the total stored energy value is larger than the energy output value, if so, the battery pack at the distribution point does not need to be charged, otherwise, the battery pack at the distribution point is determined to need to be charged;
and the charging unit is used for modularly plugging all the battery packs at the distribution point when the battery packs at the distribution point are determined to be charged, so that the charging of all the battery packs is realized.
9. The energy management apparatus for a distributed energy storage system of claim 3, further comprising a battery pack determination unit:
the combination determining unit is used for determining a battery set meeting the energy output value based on the stored energy values of all the battery sets of the distribution points and acquiring the self parameters of each battery set in the battery set;
the evaluation unit is used for evaluating the charging performance and the charging efficiency of each battery pack based on the self parameters, determining the charging performance grade and the charging efficiency value, and determining the comprehensive charging performance grade and the comprehensive charging efficiency value of each battery pack set based on the charging performance grade and the charging efficiency value of each battery pack;
the combination selecting unit is used for determining a charging efficiency threshold value based on the energy output time, determining a charging performance comprehensive grade threshold value based on the power supply load, and selecting a first battery set to be selected, which is larger than the charging efficiency threshold value and the electrical performance comprehensive grade threshold value, from the battery sets;
the combination selecting unit is further used for obtaining the use frequency of each battery pack in the first battery pack set to be selected, taking the lowest use frequency in the first battery pack set to be selected as a target frequency, and selecting a second battery pack set to be selected, wherein the target frequency of the second battery pack set to be selected is larger than the preset frequency, from the first battery pack set to be selected;
the simulation unit is used for performing simulation configuration on the second battery set to be selected, determining the configuration difficulty according to the simulation result, selecting the second battery set to be selected with the lowest configuration difficulty as a target battery set, and taking the battery in the target battery set as a target battery for participating in power supply of a user.
10. An energy management method for a distributed energy storage system, comprising:
s1: determining an energy scheduling strategy for the distributed energy storage system according to the electricity demand of the user and in combination with the distribution deployment characteristics of the distributed energy storage system;
s2: determining energy storage configuration requirements of the distributed energy storage system according to an energy scheduling strategy, and monitoring energy input and output of the distributed energy storage system under the energy storage configuration requirements to obtain monitoring data;
s3: according to the monitoring data, determining the state of the distributed energy storage system in the running process and carrying out early warning reminding;
s4: based on the energy storage data of the distributed energy storage system, the energy storage configuration requirements are adjusted in real time by combining with early warning reminding.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117825973A (en) * 2024-03-01 2024-04-05 深圳市健网科技有限公司 Lithium battery state estimation method and system for distributed energy storage system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010500A (en) * 2000-06-15 2002-01-11 Toshiba Eng Co Ltd Control system for electric power demand and supply
CN107968420A (en) * 2017-12-06 2018-04-27 重庆大学 Energy-storage system and its energy-optimised management method based on distributed extremum seeking algorithm
CN109256792A (en) * 2018-10-10 2019-01-22 华南理工大学 A kind of the energy storage stacking system and its optimization method of Based on Distributed energy storage demand
WO2022142392A1 (en) * 2020-12-28 2022-07-07 国网天津市电力公司电力科学研究院 Method for formulating spatio-temporal combined optimization scheduling policy for mobile energy storage
CN115085235A (en) * 2022-06-17 2022-09-20 岳阳耀宁新能源科技有限公司 Energy management device and method suitable for distributed energy storage system
CN115313463A (en) * 2022-08-31 2022-11-08 中国长江三峡集团有限公司 Distributed electrochemical energy storage system
CN115622128A (en) * 2022-11-04 2023-01-17 大唐(赤峰)新能源有限公司 Wind-powered electricity generation field energy management system who combines energy storage
CN116014850A (en) * 2023-01-09 2023-04-25 中国华电科工集团有限公司 Energy storage battery control optimization method and device and electronic equipment
CN116231795A (en) * 2023-02-11 2023-06-06 珠海康晋电气股份有限公司 Comprehensive management control system for distributed storage battery
CN116488219A (en) * 2023-04-13 2023-07-25 江苏果下科技有限公司 Distributed energy storage acquisition strategy control method based on multi-level architecture

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010500A (en) * 2000-06-15 2002-01-11 Toshiba Eng Co Ltd Control system for electric power demand and supply
CN107968420A (en) * 2017-12-06 2018-04-27 重庆大学 Energy-storage system and its energy-optimised management method based on distributed extremum seeking algorithm
CN109256792A (en) * 2018-10-10 2019-01-22 华南理工大学 A kind of the energy storage stacking system and its optimization method of Based on Distributed energy storage demand
WO2022142392A1 (en) * 2020-12-28 2022-07-07 国网天津市电力公司电力科学研究院 Method for formulating spatio-temporal combined optimization scheduling policy for mobile energy storage
CN115085235A (en) * 2022-06-17 2022-09-20 岳阳耀宁新能源科技有限公司 Energy management device and method suitable for distributed energy storage system
CN115313463A (en) * 2022-08-31 2022-11-08 中国长江三峡集团有限公司 Distributed electrochemical energy storage system
CN115622128A (en) * 2022-11-04 2023-01-17 大唐(赤峰)新能源有限公司 Wind-powered electricity generation field energy management system who combines energy storage
CN116014850A (en) * 2023-01-09 2023-04-25 中国华电科工集团有限公司 Energy storage battery control optimization method and device and electronic equipment
CN116231795A (en) * 2023-02-11 2023-06-06 珠海康晋电气股份有限公司 Comprehensive management control system for distributed storage battery
CN116488219A (en) * 2023-04-13 2023-07-25 江苏果下科技有限公司 Distributed energy storage acquisition strategy control method based on multi-level architecture

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117825973A (en) * 2024-03-01 2024-04-05 深圳市健网科技有限公司 Lithium battery state estimation method and system for distributed energy storage system
CN117825973B (en) * 2024-03-01 2024-05-17 深圳市健网科技有限公司 Lithium battery state estimation method and system for distributed energy storage system

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