CN117394330A - Energy scheduling method, device, equipment and medium based on power distribution network energy storage - Google Patents
Energy scheduling method, device, equipment and medium based on power distribution network energy storage Download PDFInfo
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Classifications
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses an energy scheduling method, device, equipment and medium based on power distribution network energy storage. Dividing the electric storage capacity of an electric storage module in a power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby power storage, and taking the surplus capacity as fluctuation standby power storage; determining an energy supply range of the electric storage module and selecting a plurality of electricity utilization nodes in the energy supply range; predicting the next day electricity consumption data of the applied electricity nodes according to the historical electricity consumption data of the plurality of electricity consumption nodes; sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence; and selecting a plurality of target electricity utilization nodes based on the electricity utilization node sequencing sequence, and determining the electricity utilization nodes capable of supplying power according to the next-day electricity utilization data and the fluctuation electricity storage energy storage of the plurality of target electricity utilization nodes so as to supply power to the electricity utilization nodes capable of supplying power by utilizing the fluctuation electricity storage energy storage. The method can ensure normal energy storage of the power distribution network and is convenient to cooperate with the power distribution network to carry out emergency dispatch.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy management, in particular to an energy scheduling method, device, equipment and medium based on energy storage of a power distribution network.
Background
The energy storage of the power distribution network is a key means for improving the flexibility of the power distribution system and realizing the balance adjustment and self-healing control of the power distribution network, and the power supply system is mostly an active power distribution network and has the characteristics of active control, active service and active management, and the unified scheduling control can be realized on distributed energy sources, energy storage devices, response loads and the like in the power distribution network through scheduling instructions.
The power distribution network is actively regulated and controlled by the power supply system, so that the manual operation amount is large, and particularly when the power distribution network is powered by power storage, the calculated amount is large, the scheduling is complicated, and when the power distribution network is powered by the storage battery, the storage battery needs to be charged and discharged regularly to ensure long-term effective use of the storage battery, so that the power distribution network needs frequent intervention in the operation process of the power distribution network, and the energy scheduling of the power distribution network is difficult.
Disclosure of Invention
The invention provides an energy scheduling method, device, equipment and medium based on power distribution network energy storage, which are used for solving the problem of complicated energy storage scheduling of a conventional power distribution network.
According to an aspect of the invention, there is provided an energy scheduling method based on energy storage of a power distribution network, including:
dividing the electric storage capacity of an electric storage module in a power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby power storage, and taking the surplus capacity as fluctuation standby power storage;
determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range;
acquiring historical electricity utilization data of the plurality of electricity utilization nodes, and predicting next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data;
sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence;
and selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to supply energy to the electricity utilization node capable of supplying electricity by utilizing the fluctuation electricity backup energy storage.
According to another aspect of the present invention, there is provided an energy scheduling apparatus based on energy storage of a power distribution network, including:
The division module is used for dividing the electric storage capacity of the electric storage module in the power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby electricity storage and taking the surplus capacity as fluctuation standby electricity storage;
the selecting module is used for determining the energy supply range of the electric storage module according to the position of the electric storage module and selecting a plurality of electricity utilization nodes in the energy supply range;
the prediction module is used for acquiring historical electricity utilization data of the plurality of electricity utilization nodes and predicting the next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data;
the sequencing module is used for sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence;
and the determining module is used for selecting a plurality of target electricity utilization nodes based on the electricity utilization node ordering sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity storage so as to utilize the fluctuation electricity storage to supply energy to the electricity utilization node.
According to another aspect of the present invention, there is provided an electronic apparatus including: at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform an energy scheduling method based on energy storage of a power distribution network according to any embodiment of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement an energy scheduling method based on energy storage of a power distribution network according to any embodiment of the present invention when executed.
According to the technical scheme, the electric storage capacity of the electric storage module in the power distribution network is divided into the reliable capacity and the surplus capacity, the reliable capacity is used as emergency standby power storage, and the surplus capacity is used as fluctuation standby power storage; determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range; acquiring historical electricity utilization data of the plurality of electricity utilization nodes, and predicting next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data; sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence; the method comprises the steps that a plurality of target electricity utilization nodes are selected based on an electricity utilization node sorting sequence, electricity utilization nodes capable of being supplied are determined according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation standby energy storage, so that the fluctuation standby energy storage is utilized to supply energy to the electricity utilization nodes, the problem that conventional power distribution network energy storage scheduling is complicated is solved, and when the storage battery is utilized to store energy of the power distribution network, the storage battery is required to be charged and discharged regularly to ensure long-term effective use of the storage battery, frequent intervention is required in the power distribution network operation process, the problem that difficulty is brought to energy scheduling of the power distribution network is solved, normal energy storage of the power distribution network can be ensured, emergency scheduling is facilitated by matching with the power distribution network, and the long-term effective use of the power storage module is ensured while the consumption of the normal power distribution network is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an energy scheduling method based on energy storage of a power distribution network according to a first embodiment of the present invention;
fig. 2 is a schematic diagram showing distribution of power storage modules and power consumption nodes within a power supply range according to a first embodiment of the present invention;
fig. 3 is a schematic flow chart of an energy scheduling method based on energy storage of a power distribution network according to a second embodiment of the present invention;
fig. 4 is a schematic flow chart of an energy scheduling method based on energy storage of a power distribution network according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an energy scheduling device based on energy storage of a power distribution network according to a fourth embodiment of the present invention;
Fig. 6 is a schematic structural diagram of an electronic device according to an energy scheduling method based on energy storage of a power distribution network according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention. It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Example 1
Fig. 1 is a flow chart of a power supply method based on power storage of a power distribution network according to an embodiment of the present invention, where the method may be suitable for a case of unified scheduling of distributed energy sources, energy storage devices, response loads, and the like in the power distribution network, and the method may be performed by a power supply device based on power storage of the power distribution network, where the device may be implemented by software and/or hardware and is generally integrated on an electronic device, and in this embodiment, the electronic device includes but is not limited to: a computer device.
As shown in fig. 1, a power distribution network energy storage-based energy scheduling method provided by an embodiment of the present invention includes the following steps:
s110, dividing the electric storage capacity of an electric storage module in the power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby electricity storage, and taking the surplus capacity as fluctuation standby electricity storage.
The storage capacity of the storage module can be divided into two types of capacities, one is the reliable capacity used as emergency standby energy storage, the other is the surplus capacity used as fluctuation standby energy storage, and the fluctuation standby energy storage is used for performing functions on the equipment preferentially.
In this embodiment, the storage capacity of the storage module may be divided in a plurality of manners, and optionally, in a first manner, 60% of the storage capacity of the storage module is divided into the surge standby energy storage, and 0-40% of the storage capacity of the storage module is divided into the emergency standby energy storage; in a second mode, the electric storage capacity of the first preset value in the electric storage capacity of the electric storage module is divided into fluctuation standby electric energy storage, and the electric storage capacity of the second preset value in the electric storage capacity of the electric storage module is divided into emergency standby electric energy storage.
S120, determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range.
In this embodiment, the functional range of the power storage module may be obtained first according to the location of the power storage module, and the energy supply range of the power storage module may be determined in a plurality of ways, and optionally, a partial area may be selected as the energy supply range according to the power supply line information around the location of the power storage module; the energy supply range can also be determined through simulation experiments.
The mode of selecting a plurality of electricity utilization nodes in the energy supply range can be as follows: the branch circuit on the power supply circuit in the energy supply range is used as the power consumption node, as shown in fig. 2, fig. 2 is a schematic distribution diagram of the power storage module and the power consumption node in the energy supply range provided by the embodiment of the invention.
S130, acquiring historical electricity utilization data of the plurality of electricity utilization nodes, and predicting next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data.
In this embodiment, after determining the electricity consumption node, the historical electricity consumption data of a plurality of electricity consumption nodes may be obtained in a plurality of modes, and by way of example, the historical electricity consumption data of a plurality of electricity consumption nodes may be obtained from the electricity meter at the master-slave position.
The historical electricity consumption data can be understood as electricity consumption data of the electricity consumption node in the past period of time.
In this embodiment, the manner of predicting the next-day electricity consumption data of the application node according to the historical electricity consumption data is not particularly limited, and alternatively, the prediction function may be obtained according to the historical electricity consumption data, and the next-day electricity consumption data of the application node may be obtained through the prediction function. It should be noted that, the prediction mode of each power consumption node is the same, and the next day power consumption data of the node is predicted according to the historical power consumption data of one power consumption node.
And S140, sorting the electricity utilization nodes according to the sequence from high to low of the data volume of the electricity utilization data of the next day, and obtaining an electricity utilization node sorting sequence.
In this embodiment, the next-day electricity consumption data of each electricity consumption node is obtained through prediction in step S130, so that the electricity consumption nodes can be ordered according to the next-day electricity consumption data of different electricity consumption nodes to obtain an electricity consumption node ordering sequence.
The power utilization nodes can be ordered according to the sequence from high power utilization data to low power utilization data of the next day of each power utilization node, the power utilization nodes with higher power utilization data of the next day can be ordered before the power utilization nodes with higher power utilization data of the next day, and the power utilization nodes with lower power utilization data of the next day can be ordered after the power utilization nodes with lower power utilization data of the next day.
And S150, selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to supply energy to the electricity utilization node capable of supplying electricity by utilizing the fluctuation electricity backup energy storage.
The method comprises the steps of selecting a plurality of electricity utilization nodes which are ranked and backed in an electricity utilization node ranking sequence as target electricity utilization nodes.
In this embodiment, a plurality of target power utilization nodes satisfying a preset condition may be selected as the power-available power utilization nodes. The preset conditions can be set by themselves, and specific content of the preset conditions is not limited herein. Optionally, if the plurality of target electricity utilization nodes meet that the sum of the next-day electricity utilization data of the plurality of target electricity utilization nodes is smaller than the fluctuation standby electricity storage energy, the plurality of target electricity utilization nodes can be used as the electricity utilization nodes capable of supplying electricity.
After determining the power-available power consumption node, the power-available power consumption node can be powered.
According to the energy scheduling method based on power distribution network energy storage, the power storage capacity of a power storage module in a power distribution network is divided into reliable capacity and surplus capacity, the reliable capacity is used as emergency standby power storage, and the surplus capacity is used as fluctuation standby power storage; secondly, determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of power utilization nodes in the energy supply range; then, historical electricity utilization data of the plurality of electricity utilization nodes are obtained, and next-day electricity utilization data of the applied electricity nodes are predicted according to the historical electricity utilization data; then sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence; and finally, selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to utilize the fluctuation electricity backup energy storage to supply energy to the electricity utilization node capable of supplying electricity. According to the method, through dividing the storage capacity, normal energy storage of the power distribution network can be ensured, emergency dispatching is convenient to carry out by matching with the power distribution network, energy storage dispatching is directly carried out in a mode of supplying energy to the power supply node, the energy storage dispatching of the storage capacity is realized while the consumption of a normal power grid is reduced, and long-term effective use of the storage module can be ensured.
On the basis of the above embodiments, modified embodiments of the above embodiments are proposed, and it is to be noted here that only the differences from the above embodiments are described in the modified embodiments for the sake of brevity of description.
Further, the electricity storage sequence of the electricity storage module is as follows: and after the reliable capacity is fully accumulated, accumulating the surplus capacity.
In one embodiment, determining the energy supply range of the electric storage module according to the position of the electric storage module includes: selecting an adjacent power supply line according to the position of the power storage module; positioning a plurality of power supply main circuits from the adjacent power supply circuits; acquiring at least one target power supply trunk circuit from the plurality of power supply trunk circuits, wherein the target power supply trunk circuit is a power supply trunk circuit comprising a set number of branches; and taking a main road area formed by the at least one target power supply main road as an energy supply range of the power storage module.
In this embodiment, the power supply line near the location where the power storage module is located is determined as the adjacent power supply line, the power supply trunk is located from the adjacent power supply line according to the adjacent power supply line information, the target power supply trunk including the set number of branches is obtained from the located power supply trunk, and the area formed by the target power supply trunk can be used as the functional range of the power storage model.
Wherein, which are the power supply trunk ways can be known according to the adjacent power supply line information, and then the power supply trunk ways can be positioned. The target power supply trunk circuit can be a power supply trunk circuit comprising a set number of branches, each power supply trunk circuit comprises a plurality of branches, the power supply trunk circuit comprising the set number of branches is selected as the target power supply trunk circuit, the preset number can be preset, the value of the preset number is not particularly limited, and the power supply trunk circuit can be set according to actual conditions or experience. And taking the area where the selected at least one target trunk is located as an energy supply range of the power storage module.
Further, a branch on the at least one target power supply circuit is used as a power utilization node, and power utilization data of a plurality of power utilization nodes are obtained.
The branch on the target power supply circuit can be used as a power consumption node, a power consumption detection module is set at the branch to detect the power consumption of the branch, the power consumption data of all the power consumption nodes can be obtained from the power consumption detection module, and the power consumption data can be understood as power consumption data.
In one embodiment, selecting a plurality of target electricity nodes based on the electricity node ordering, determining an available electricity node according to the next day electricity data of the plurality of target electricity nodes and the fluctuation electricity storage energy, including: selecting a plurality of power utilization nodes with a plurality of bits after ranking as a plurality of target power utilization nodes according to the power utilization node ordering; comparing the sum of the next-day electricity consumption data of the target electricity consumption nodes with the fluctuation standby electricity storage; and if the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is smaller than the fluctuation standby electricity energy storage, taking the target electricity consumption nodes as the electricity consumption nodes capable of supplying electricity.
Example two
Fig. 3 is a schematic flow chart of an energy scheduling method based on energy storage of a power distribution network according to a second embodiment of the present invention, where the second embodiment optimizes the energy scheduling method based on the above embodiments. For details not yet described in detail in this embodiment, refer to embodiment one.
As shown in fig. 3, a power supply method based on power storage of a power distribution network according to a second embodiment of the present invention includes the following steps:
s210, dividing the electric storage capacity of an electric storage module in the power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby electricity storage, and taking the surplus capacity as fluctuation standby electricity storage.
S220, determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range.
S230, historical electricity utilization data of the plurality of electricity utilization nodes are obtained, and next-day electricity utilization data of the applied electricity nodes are predicted according to the historical electricity utilization data.
And S240, sorting the electricity utilization nodes according to the sequence from high to low of the data volume of the electricity utilization data of the next day, and obtaining an electricity utilization node sorting sequence.
S250, selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence, and determining the electricity utilization nodes capable of being powered according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to utilize the fluctuation electricity backup energy storage to power the electricity utilization nodes.
And S260, selecting the emergency standby electricity energy storage to supply energy to the power-available electricity node when the fluctuation standby electricity energy storage cannot supply energy to the power-available electricity node.
When the fluctuation standby power storage is exhausted and the power-available power-supply power utilization node cannot be supplied with energy, the emergency standby power storage can be started to supply energy to the power-available power-supply power utilization node, and the consumption of the emergency standby power storage is recorded.
S270, acquiring consumption of the emergency standby electricity energy storage, and updating the fluctuation standby electricity energy storage by using the consumption.
When the current fluctuation standby energy storage cannot supply energy to the power-available power utilization node, the fluctuation standby energy storage needs to be updated, so that the updated fluctuation standby energy storage is used for screening the power-available power utilization node.
Further, updating the fluctuating standby energy storage using the consumption of the emergency standby energy storage includes: and subtracting one half of the consumption of the emergency standby electricity energy storage from the fluctuation standby electricity energy storage to obtain updated fluctuation standby electricity energy storage.
The following calculation formula can be used for updating the fluctuation standby energy storage:
updated wave back-up energy storage = current wave back-up energy storage-consumption/2.
S280, the updated fluctuation standby power storage is used for carrying out screening on the power-available power nodes again, so that the screened power-available power nodes are powered by the updated fluctuation standby power storage.
And replacing the updated fluctuation standby power storage with the fluctuation standby power storage in the step S250, and screening the power-available power utilization nodes.
Specifically, the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is compared with the updated fluctuation standby electricity storage, and if the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is smaller than the updated fluctuation standby electricity storage, the plurality of target electricity consumption nodes are used as the electricity consumption nodes capable of supplying electricity.
According to the energy scheduling method based on the power distribution network energy storage, when the sum of power consumption prediction data is smaller than actual power consumption data, stable and effective use of power consumption nodes can be guaranteed, on the basis, the updated fluctuation power consumption energy storage calculation is performed through halving the emergency power consumption energy storage, stability of power consumption nodes in power supply can be better guaranteed, and influence of deviation between next-day power consumption data and actual power consumption data of the power consumption nodes is reduced.
Example III
Fig. 4 is a schematic flow chart of an energy scheduling method based on energy storage of a power distribution network according to a third embodiment of the present invention, where the third embodiment is optimized based on the foregoing embodiments. For details not yet described in this embodiment, please refer to the first and second embodiments.
As shown in fig. 4, a power supply method based on power storage of a power distribution network according to a third embodiment of the present invention includes the following steps:
s310, dividing the storage capacity of the storage module in the power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby power storage, and taking the surplus capacity as fluctuation standby power storage.
S320, determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range.
S330, historical electricity utilization data of the plurality of electricity utilization nodes are obtained, and next-day electricity utilization data of the applied electricity nodes is predicted according to the historical electricity utilization data.
And S340, sorting the electricity utilization nodes according to the sequence from high to low of the data volume of the electricity utilization data of the next day, and obtaining the electricity utilization node sorting.
S350, selecting a plurality of target electricity utilization nodes based on the electricity utilization node ordering, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to supply energy to the electricity utilization node capable of supplying electricity by utilizing the fluctuation electricity backup energy storage.
And S360, selecting the emergency standby power storage to supply energy to the power-available node when the fluctuation standby power storage cannot supply energy to the power-available node.
And S370, when the emergency standby electricity energy storage is not used in a set time, calculating additional standby electricity energy storage, and using the additional standby electricity energy storage to screen the power supply available electricity nodes again.
And S380, when the emergency standby electricity energy storage is not used in a set time, calculating additional standby electricity energy storage, and using the additional standby electricity energy storage to screen the power-available electricity nodes again so as to utilize the additional standby electricity energy storage to supply energy to the screened power-available electricity nodes.
The additional standby energy storage is the sum of the fluctuation standby energy storage and one fourth of the emergency standby energy storage.
Additional standby energy storage = current fluctuation standby energy storage + emergency standby energy storage/4;
and replacing the calculated additional standby energy storage with the fluctuation standby energy storage in the step S350, and screening the power-available power utilization nodes. Specifically, the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is compared with the additional standby electricity storage, and if the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is smaller than the additional standby electricity storage, the plurality of target electricity consumption nodes are used as the electricity consumption nodes capable of supplying electricity.
According to the energy scheduling method based on the power distribution network energy storage, the periodic discharge of emergency standby power storage can be realized, and the long-term effectiveness of reliable capacity is ensured.
Example IV
Fig. 5 is a schematic structural diagram of an energy scheduling device based on energy storage of a power distribution network according to a fourth embodiment of the present invention, where the device may be adapted to perform unified scheduling on distributed energy, an energy storage device, a response load, and the like in the power distribution network, and the device may be implemented by software and/or hardware and is generally integrated on an electronic device.
As shown in fig. 5, the apparatus includes: the partitioning module 110, the selecting module 120, the predicting module 130, the ordering module 140, and the determining module 150.
The dividing module 110 is configured to divide an electric storage capacity of an electric storage module in the power distribution network into a reliable capacity and a surplus capacity, and use the reliable capacity as emergency standby power storage and the surplus capacity as fluctuation standby power storage;
the selecting module 120 is configured to determine an energy supply range of the electric storage module according to a location where the electric storage module is located, and select a plurality of electricity utilization nodes within the energy supply range;
a prediction module 130, configured to obtain historical electricity consumption data of the plurality of electricity consumption nodes, and predict next-day electricity consumption data of the applied electricity nodes according to the historical electricity consumption data;
The sorting module 140 is configured to sort the electricity nodes according to the order from high to low of the data amount of the electricity data in the next day, so as to obtain an electricity node sorting sequence;
the determining module 150 is configured to select a plurality of target power utilization nodes based on the power utilization node ordering sequence, and determine a power-available power utilization node according to the next day power utilization data of the plurality of target power utilization nodes and the fluctuation standby power storage, so as to utilize the fluctuation standby power storage to power the power-available power utilization node.
In this embodiment, the device divides the storage capacity of the storage module in the power distribution network into a reliable capacity and a surplus capacity through the dividing module 110, and uses the reliable capacity as emergency standby power storage and the surplus capacity as fluctuation standby power storage; secondly, determining an energy supply range of the electric storage module according to the position of the electric storage module through a selection module 120, and selecting a plurality of electricity utilization nodes in the energy supply range; then, historical electricity utilization data of the plurality of electricity utilization nodes are obtained through a prediction module 130, and next-day electricity utilization data of the applied electricity nodes is predicted according to the historical electricity utilization data; then, sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day through a sequencing module 140 to obtain a power utilization node sequencing sequence; and finally, selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence through a determining module 150, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to supply energy to the electricity utilization node capable of supplying electricity by utilizing the fluctuation electricity backup energy storage.
The embodiment provides an energy scheduling device based on distribution network energy storage, can ensure the normal energy storage of distribution network, is convenient for cooperate the distribution network to carry out emergency dispatch.
Further, the electricity storage sequence of the electricity storage module is as follows: and after the reliable capacity is fully accumulated, accumulating the surplus capacity.
Further, the selecting module 120 is configured to: selecting an adjacent power supply line according to the position of the power storage module;
positioning a plurality of power supply main circuits from the adjacent power supply circuits;
acquiring at least one target power supply trunk circuit from the plurality of power supply trunk circuits, wherein the target power supply trunk circuit is a power supply trunk circuit comprising a set number of branches;
and taking a main road area formed by the at least one target power supply main road as an energy supply range of the power storage module.
And on the basis of the optimization, taking the branch on the at least one target power supply trunk as a power utilization node, and acquiring power utilization data of a plurality of power utilization nodes.
Based on the above technical solution, the determining module 150 is specifically configured to: selecting a plurality of power utilization nodes with a plurality of bits after ranking as a plurality of target power utilization nodes according to the power utilization node ordering; comparing the sum of the next-day electricity consumption data of the target electricity consumption nodes with the fluctuation standby electricity storage; and if the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is smaller than the fluctuation standby electricity energy storage, taking the target electricity consumption nodes as the electricity consumption nodes capable of supplying electricity.
Further, the device also comprises an updating module, which comprises:
the selecting unit is used for selecting the emergency standby power storage to supply energy to the power-available power node when the fluctuation standby power storage cannot supply energy to the power-available power node;
the updating unit is used for acquiring the consumption of the emergency standby electricity energy storage and updating the fluctuation standby electricity energy storage by using the consumption;
and the screening unit is used for carrying out screening on the power supply available power nodes again by using the updated fluctuation standby power energy storage.
Based on the above scheme, the updating unit is specifically configured to: and subtracting one half of the consumption of the emergency standby electricity energy storage from the fluctuation standby electricity energy storage to obtain updated fluctuation standby electricity energy storage.
Further, the device also comprises a calculation module, wherein the calculation module is used for calculating additional standby electricity energy storage when the emergency standby electricity energy storage is not used in a set time, and using the additional standby electricity energy storage to screen power supply electricity utilization nodes again; the additional standby energy storage is the sum of the fluctuation standby energy storage and one fourth of the emergency standby energy storage.
The energy scheduling device based on the power distribution network energy storage can execute the energy scheduling method based on the power distribution network energy storage provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as energy scheduling methods based on energy storage of the distribution network.
In some embodiments, the power distribution network energy storage-based energy scheduling method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of the power distribution network energy storage based energy scheduling method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power distribution network energy storage based energy scheduling method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (11)
1. An energy scheduling method based on energy storage of a power distribution network, which is characterized by comprising the following steps:
dividing the electric storage capacity of an electric storage module in a power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby power storage, and taking the surplus capacity as fluctuation standby power storage;
determining an energy supply range of the electric storage module according to the position of the electric storage module, and selecting a plurality of electricity utilization nodes in the energy supply range;
Acquiring historical electricity utilization data of the plurality of electricity utilization nodes, and predicting next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data;
sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence;
and selecting a plurality of target electricity utilization nodes based on the electricity utilization node sorting sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity backup energy storage so as to supply energy to the electricity utilization node capable of supplying electricity by utilizing the fluctuation electricity backup energy storage.
2. The method according to claim 1, wherein the electric storage order of the electric storage modules is: and after the reliable capacity is fully accumulated, accumulating the surplus capacity.
3. The method of claim 1, wherein determining the energy range of the power storage module based on the location of the power storage module comprises:
selecting an adjacent power supply line according to the position of the power storage module;
positioning a plurality of power supply main circuits from the adjacent power supply circuits;
acquiring at least one target power supply trunk circuit from the plurality of power supply trunk circuits, wherein the target power supply trunk circuit is a power supply trunk circuit comprising a set number of branches;
And taking a main road area formed by the at least one target power supply main road as an energy supply range of the power storage module.
4. A method according to claim 3, characterized in that a branch on the at least one target power supply trunk is taken as a power consumption node and power consumption data of a plurality of power consumption nodes are acquired.
5. The method of claim 1, wherein selecting a plurality of target electricity nodes based on the electricity node ordering, determining an available electricity node from the next day electricity data of the plurality of target electricity nodes and the fluctuating standby electricity storage, comprises:
selecting a plurality of power utilization nodes with a plurality of bits after ranking as a plurality of target power utilization nodes according to the power utilization node ordering;
comparing the sum of the next-day electricity consumption data of the target electricity consumption nodes with the fluctuation standby electricity storage;
and if the sum of the next-day electricity consumption data of the plurality of target electricity consumption nodes is smaller than the fluctuation standby electricity energy storage, taking the target electricity consumption nodes as the electricity consumption nodes capable of supplying electricity.
6. The method as recited in claim 1, further comprising:
when the fluctuation standby power energy storage cannot supply power to the power-available power node, selecting the emergency standby power energy storage to supply power to the power-available power node;
Acquiring consumption of the emergency standby power storage, and updating the fluctuation standby power storage by using the consumption;
and (5) using the updated fluctuation standby power energy storage to screen the power available power utilization nodes again.
7. The method of claim 6, wherein updating the fluctuating backup energy storage using the consumption of the emergency backup energy storage comprises:
and subtracting one half of the consumption of the emergency standby electricity energy storage from the fluctuation standby electricity energy storage to obtain updated fluctuation standby electricity energy storage.
8. The method as recited in claim 6, further comprising: when the emergency standby electricity energy storage is not used in a set time, calculating additional standby electricity energy storage, and using the additional standby electricity energy storage to screen power supply available electricity nodes again;
the additional standby energy storage is the sum of the fluctuation standby energy storage and one fourth of the emergency standby energy storage.
9. An energy scheduling device based on energy storage of a power distribution network, the device comprising:
the division module is used for dividing the electric storage capacity of the electric storage module in the power distribution network into reliable capacity and surplus capacity, taking the reliable capacity as emergency standby electricity storage and taking the surplus capacity as fluctuation standby electricity storage;
The selecting module is used for determining the energy supply range of the electric storage module according to the position of the electric storage module and selecting a plurality of electricity utilization nodes in the energy supply range;
the prediction module is used for acquiring historical electricity utilization data of the plurality of electricity utilization nodes and predicting the next-day electricity utilization data of the applied electricity nodes according to the historical electricity utilization data;
the sequencing module is used for sequencing the power utilization nodes according to the sequence from high to low of the data volume of the power utilization data of the next day to obtain a power utilization node sequencing sequence;
and the determining module is used for selecting a plurality of target electricity utilization nodes based on the electricity utilization node ordering sequence, and determining the electricity utilization node capable of supplying electricity according to the next-day electricity utilization data of the plurality of target electricity utilization nodes and the fluctuation electricity storage so as to utilize the fluctuation electricity storage to supply energy to the electricity utilization node.
10. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power distribution grid energy storage based energy scheduling method of any one of claims 1-8.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the energy scheduling method based on energy storage of a power distribution network according to any one of claims 1-8 when executed.
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