CN117039955A - Control method and device of energy storage device, electronic equipment and storage medium - Google Patents

Control method and device of energy storage device, electronic equipment and storage medium Download PDF

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CN117039955A
CN117039955A CN202310995144.4A CN202310995144A CN117039955A CN 117039955 A CN117039955 A CN 117039955A CN 202310995144 A CN202310995144 A CN 202310995144A CN 117039955 A CN117039955 A CN 117039955A
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energy
energy storage
sequence
sequence data
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闻雅兰
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/546—Message passing systems or structures, e.g. queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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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Abstract

The disclosure provides a control method, a control device, electronic equipment, a storage medium and a program product of an energy storage device, and relates to the technical fields of computer technology, artificial intelligence and energy, in particular to the technical fields of data processing and power distribution of the Internet of things. The specific implementation scheme is as follows: acquiring sequence data related to energy from a message queue; based on the sequence data related to the energy, evaluating the energy resources to obtain energy resource time sequences in a future target period; generating an energy storage control strategy based on the energy resource time sequence; and sending the energy storage control strategy to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.

Description

Control method and device of energy storage device, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical fields of computer technology, artificial intelligence and energy, in particular to the technical fields of data processing and power distribution of the internet of things, and specifically relates to a control method of an energy storage device, a control device of the energy storage device, electronic equipment and a storage medium.
Background
With the continuous and deep development of the electric power market in China, independent energy storage gradually becomes an important operation means of the electric power market. The key of the operation of independent energy storage in the electric power market is to formulate a reasonable charging and discharging strategy. How to reasonably and scientifically formulate a charging and discharging strategy becomes a key problem.
Disclosure of Invention
The disclosure provides a control method and device of an energy storage device, electronic equipment, a storage medium and a program product.
According to an aspect of the present disclosure, there is provided a control method of an energy storage device, including: acquiring sequence data related to energy from a message queue; based on the sequence data related to the energy sources, evaluating the energy sources to obtain energy source time sequences in a future target period; generating an energy storage control strategy based on the energy resource time sequence; and transmitting the energy storage control strategy to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.
According to another aspect of the present disclosure, there is provided a control device of an energy storage device, including: the first acquisition module is used for acquiring the sequence data related to the energy from the message queue; the evaluation module is used for evaluating the energy resources based on the sequence data related to the energy sources to obtain energy resource time sequences in a future target period; the generation module is used for generating an energy storage control strategy based on the energy resource time sequence; and the transmitting module is used for transmitting the energy storage control strategy to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.
According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as disclosed herein.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer as described above to perform a method as disclosed herein.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method as disclosed herein.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 schematically illustrates an exemplary system architecture to which methods and apparatus for controlling an energy storage device may be applied, according to embodiments of the present disclosure;
FIG. 2 schematically illustrates a flow chart of a method of controlling an energy storage device according to an embodiment of the disclosure;
FIG. 3 schematically illustrates a network architecture diagram of an energy resource evaluation model according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow diagram of determining energy resource timing according to an embodiment of the disclosure;
FIG. 5 schematically illustrates a flow diagram for determining an energy storage control strategy according to an embodiment of the disclosure;
FIG. 6 schematically illustrates a schematic view of the impact of yield on a decision window according to an embodiment of the disclosure;
FIG. 7 schematically illustrates a system link diagram for transmitting data in accordance with an embodiment of the present disclosure;
FIG. 8 schematically illustrates a block diagram of a control device of an energy storage device according to an embodiment of the disclosure; and
fig. 9 schematically illustrates a block diagram of an electronic device adapted to implement a method of controlling an energy storage device according to an embodiment of the disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The disclosure provides a control method and device of an energy storage device, electronic equipment, a storage medium and a program product.
According to an embodiment of the present disclosure, a method for controlling an energy storage device may include: acquiring sequence data related to energy from a message queue; based on the sequence data related to the energy, evaluating the energy resources to obtain energy resource time sequences in a future target period; generating an energy storage control strategy based on the energy resource time sequence; and sending the energy storage control strategy to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.
In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing, applying and the like of the personal information of the user all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public order harmony is not violated.
In the technical scheme of the disclosure, the authorization or consent of the user is obtained before the personal information of the user is obtained or acquired.
Fig. 1 schematically illustrates an exemplary system architecture to which energy storage control methods and apparatus may be applied, according to embodiments of the present disclosure.
It should be noted that fig. 1 is only an example of a system architecture to which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.
As shown in fig. 1, a system architecture 100 according to this embodiment may include energy storage devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide a communication link between the energy storage devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired and/or wireless communication links, and the like.
The energy storage devices 101, 102, 103 may be used to interact with the server 105 over the network 104 to receive or send messages, etc.
The energy storage devices 101, 102, 103 may be wind power generation energy storage devices, photovoltaic power generation energy storage devices, thermal power generation energy storage devices, hydroelectric power generation energy storage devices, etc. Any energy production device that can generate, store, and supply energy consumed by other devices may be used. The energy storage means 101, 102, 103 may also comprise sensors, energy generation modules, energy storage modules, energy supply modules, etc. The energy generation module may comprise, for example, a windmill, waterwheel, or photovoltaic panel. The energy storage module may include a battery for storing electrical energy. The energy supply module may include a converter, a switch, a transformer, etc.
The server 105 may be a server providing various services, such as a background management server (by way of example only) that provides support for energy storage policies of the energy storage devices 101, 102, 103. The background management server may process the sequence data related to the energy source, generate an energy storage control strategy, and feed back the energy storage control strategy to the energy storage devices 101, 102, 103.
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 ("Virtual Private Server" or simply "VPS") are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain. "
It should be noted that the energy storage control method provided in the embodiments of the present disclosure may be generally executed by the server 105. Accordingly, the energy storage control device provided by the embodiment of the disclosure may also be disposed in the server.
It should be understood that the number of energy storage devices, networks, and servers in fig. 1 are merely illustrative. There may be any number of energy storage devices, networks, and servers, as desired for implementation.
It should be noted that the sequence numbers of the respective operations in the following methods are merely representative of the operations for the purpose of description, and should not be construed as representing the order of execution of the respective operations. The method need not be performed in the exact order shown unless explicitly stated.
Fig. 2 schematically illustrates a flow chart of a method of controlling an energy storage device according to an embodiment of the disclosure.
As shown in fig. 2, the method includes operations S210 to S240.
In operation S210, sequence data related to an energy source is acquired from a message queue.
In operation S220, the energy resource is evaluated based on the sequence data related to the energy source, and the energy resource timing in the future target period is obtained.
In operation S230, an energy storage control strategy is generated based on the energy resource timing.
In operation S240, the energy storage control strategy is transmitted to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.
According to the embodiment of the disclosure, the method can be applied to a server, and the server can be a cloud server. The server may include a message queue.
According to embodiments of the present disclosure, the server may obtain the sequence data related to the energy source from an external device related to the energy storage device, for example, through a 5G or internet of things technology. The external device can collect the data related to the energy source in real time to obtain the sequence data related to the energy source which are arranged according to the time sequence.
According to embodiments of the present disclosure, the server may store the acquired energy-related sequence data to a database. Before performing operation S220 as shown in fig. 2, the sequence data related to the energy source is acquired from the database.
According to embodiments of the present disclosure, the server may also store the acquired energy-related data to the message queue. In the case of performing operation S220 as shown in fig. 2, the sequence data related to the energy source is acquired from the message queue.
According to the embodiment of the disclosure, compared with the mode of storing the data into the database, the first-in first-out storage characteristic of the message queue can be utilized, so that the reliability of the data is ensured, and meanwhile, the high-performance requirement is met.
According to an embodiment of the present disclosure, the sequence data related to the energy source may include a plurality of data related to the energy source arranged in time sequence. The period of the energy-related sequence data is not limited, and may be, for example, energy-related sequence data of a future period, but is not limited thereto, energy-related sequence data of a history period, or energy-related sequence data of a combination of a future period and a history period. As long as the period of time contained in the sequence data related to the energy source is longer than the future target period of time.
According to embodiments of the present disclosure, the energy resource timing may refer to a plurality of time instants and energy resources of each of the plurality of time instants. For example, taking electricity as an energy source, the energy source time may include a plurality of times and electricity prices at each of the plurality of times.
According to embodiments of the present disclosure, the energy storage control strategy may include a control strategy for energy storage or consumption of energy at different times. For example, using electricity as an energy source, an energy storage control strategy may refer to a control strategy that charges or discharges at different times.
According to the embodiment of the disclosure, the energy resource time sequence in the future target period can be determined by utilizing the periodic characteristics in the sequence data related to the energy source, so that the accuracy of the energy resource time sequence is improved. Therefore, the accuracy and the rationality of an energy storage control strategy generated based on the energy resource time sequence are improved, and the rationality and the benefit of energy storage are improved.
According to a related example of the present disclosure, a "peak Gu Taoli" energy storage control strategy may be used. For example, the user is charged at low electricity prices and discharged at high electricity consumption peaks. The peak-valley charging and discharging modes are adopted, only real-time clearing electricity prices are considered, the daily clearing prices and medium-long term settlement prices cannot be considered, deviation income recycling, assessment and the like of the electric power market caused by energy storage arbitrage cannot be realized, and the highest electricity fee settlement income cannot be realized. In addition, there are many constraints of the energy storage device itself, such as the battery capacity, the number of charge and discharge times, etc., and the conventional peak-valley arbitrage strategy cannot take into account the constraints existing in these practical scenarios.
According to the embodiment of the disclosure, the energy resource is evaluated by using the sequence data related to the energy source to obtain the energy resource time sequence in the future target period, and the accurate and effective energy resource time sequence can be obtained by using the periodic data in the sequence data related to the energy source, so that the energy storage control strategy obtained based on the energy resource time sequence is reasonable and scientific, and finally, the optimized benefit is obtained in the electric power market by the energy storage control strategy.
According to an embodiment of the present disclosure, for operation S210 as shown in fig. 2, acquiring the sequence data related to the energy source from the message queue may include: the data related to the energy source transmitted by the external device is received through the gateway apparatus. The energy related data is added to the message queue by the gateway device. And acquiring a plurality of data related to the energy source from the message queue to obtain the sequence data related to the energy source.
According to embodiments of the present disclosure, an external device may refer to a device for acquiring data related to an energy source. Such as hardware devices such as optical power meters, temperature sensors, etc. But is not limited thereto. The external device may further include a signal acquisition device for acquiring device information related to the energy storage device, for example, a signal acquisition device for acquiring a capacitance or a remaining amount of electricity of the electricity storage device of the energy storage device, or the like.
According to an embodiment of the disclosure, the gateway device, as an edge device of the cloud server, may include one or more of an industrial personal computer and an edge gateway.
According to embodiments of the present disclosure, gateway devices may be configured as a high performance non-blocking communication framework, such as a Netty framework (a network application framework that provides asynchronous, event-driven). A TCP Socket (Transmission Control Protocol Socket ) communication connection can be established between the gateway apparatus and the external device, so as to implement a real-time and compact communication manner, and further ensure that the gateway apparatus can receive data related to energy from the external device.
According to an embodiment of the present disclosure, in the case of reporting data, the gateway apparatus may function as a sender to convert data related to energy transmitted by an external device into data of a predetermined format and encapsulate the data. And adding the encapsulated data into a message queue through gateway equipment. The control system in the server may act as a consumer to consume data from the message queue and write it to the database.
According to other embodiments of the present disclosure, obtaining energy-related sequence data from a message queue may include: the data related to the energy source transmitted by the external device is received through the server port. Data relating to the energy source is added to the message queue. And acquiring a plurality of data related to the energy source from the message queue, and arranging the plurality of data related to the energy source according to a time sequence to obtain sequence data related to the energy source.
In comparison with the system in which the data relating to the energy source transmitted from the external device is directly received by the server port, the data relating to the energy source transmitted from the external device is received by the gateway device, and when the data amount of the data relating to the energy source is large and the external device is large, the problem of refusing to receive the data relating to the energy source by the server port can be avoided by utilizing the high performance of the gateway device.
According to an embodiment of the present disclosure, HTTP (Hyper Text Transfer Protocol ) or TCP communication link may be provided between the gateway device and the control apparatus in the server, and the data related to the energy source transmitted by the gateway device may be received directly by the control apparatus, but is not limited thereto, and the data related to the energy source may be added to the message queue through the gateway device, and the data related to the energy source may be acquired from the message queue by the control system in the server. Thereby avoiding the problem of data loss in case of failure of the communication link establishment between the gateway device and the control system.
According to other embodiments of the present disclosure, the data related to the energy source sent by the external device may be cached by the gateway device, and a plurality of data related to the energy source may be arranged according to a time sequence, so as to obtain the sequence data related to the energy source. And encapsulating the sequence data related to the energy source, and adding the encapsulated data to a message queue. And the control system of the server acquires the encapsulated data from the message queue to obtain the sequence data related to the energy. Compared with the instant data pushing, the cache batch pushing mode is adopted, and the problem that the control device cannot meet high-performance requirements can be solved. In addition, the data pressure is transferred to the gateway equipment in a batch pushing mode, and the real-time performance and usability of a control system of the server are guaranteed.
According to an embodiment of the present disclosure, the above-described operations may be performed in a case where the sequence data related to the energy source includes sequence data related to the environment and/or includes sequence data related to the energy source production load. In the case where the sequence data related to the energy source includes sequence data related to the energy source, the above-described operations may be performed while also including the following operations. For example, the sequence data relating to the energy resource is obtained from a database or an external interface of a third party.
According to an embodiment of the present disclosure, for operation S220 as shown in fig. 2, the evaluation of the energy resource based on the sequence data related to the energy source, resulting in the energy resource timing within the future target period may include the following operations.
For example, the periodic feature is obtained by extracting the feature of the sequence data related to the energy source. And coding the periodic characteristics to obtain coding characteristics. And obtaining the energy resource time sequence based on the coding characteristics.
According to embodiments of the present disclosure, the embedded layer (e.g., the embedded layer) may be utilized to process the sequence data related to the energy source to obtain the periodic characteristics. For example, the sequence data related to the energy source is input into the embedded layer, resulting in a periodic feature.
According to an embodiment of the present disclosure, the periodic features are encoded, resulting in encoded features, which may include the following operations.
The following operations are repeatedly performed until the repetition number reaches a predetermined repetition threshold:
inputting the nth periodic feature into the multi-head attention mechanism to obtain the nth first feature. Inputting the nth first feature and the nth periodic feature into a first residual connection and normalization layer to obtain an nth second feature. And inputting the nth second characteristic into the feedforward neural network layer to obtain an nth third characteristic. And inputting the third feature of the nth time and the second feature of the nth time to a second residual error connection and normalization layer to obtain the coding feature of the nth time.
According to an embodiment of the present disclosure, N is equal to or less than N, N being a predetermined repetition threshold. The nth encoding feature is taken as the encoding feature.
According to an embodiment of the present disclosure, deriving the energy resource timing based on the encoding features may include: and linearly transforming the coding characteristic to obtain a transformation characteristic. And (5) carrying out regression on the transformation characteristics to obtain the energy resource time sequence.
According to the embodiment of the disclosure, the embedded layer is utilized to extract the characteristics of the sequence data related to the energy source, so that the periodic characteristics in the sequence data can be mined, and the utilization rate of the data is improved. In addition, the conversion characteristics are obtained by carrying out linear conversion on the coding characteristics, and regression is carried out on the conversion characteristics, so that each energy value in the obtained energy resource time sequence is in a point prediction expression form, but not in a probability prediction expression form, and the numerical granularity of each energy value in the energy resource time sequence is refined.
According to the embodiment of the disclosure, the energy resource evaluation model can be utilized to process the sequence data, so as to obtain the energy resource time sequence. The energy resource evaluation model may include a codec (transducer). But is not limited thereto. The specific network structure of the energy resource evaluation model may also refer to the network structure as shown in fig. 3.
Fig. 3 schematically illustrates a network structure diagram of an energy resource evaluation model according to an embodiment of the present disclosure.
As shown in fig. 3, the energy resource evaluation model may include an embedded layer M310, an encoded layer M320, a linear layer M330, and an output layer M340. The coding layer M320 may include a stack of N sub-coding layers, each sub-coding layer including a Multi-Head Attention mechanism layer (Multi-Head Attention) M321, a first residual and normalization layer (Add & Norm) M322, a Feed Forward network layer (Feed Forward) M323, and a second residual and normalization layer (Add & Norm) M324, which are sequentially connected.
As shown in fig. 3, the sequence data 310 is input to the embedded layer M310, and the periodic characteristics are output. The periodic characteristics are input to the coding layer M320, and the coding characteristics are output. The coding feature is input to a Linear layer (Linear) M330, and the transform feature is output. The transformed features are input into an output layer M340, such as an activation function softmax, resulting in an energy resource timing 320.
According to an embodiment of the present disclosure, the nth periodic feature may be input into the nth level multi-headed attention mechanism layer, resulting in the nth first feature. Inputting the nth first characteristic and the nth periodic characteristic into an nth first residual connection and normalization layer to obtain an nth second characteristic. And inputting the nth second characteristic into the nth feedforward neural network layer to obtain an nth third characteristic. And inputting the third feature and the second feature of the nth time to the second residual error connection and normalization layer of the nth stage to obtain the coding feature of the nth time. The nth encoding feature is taken as the encoding feature.
According to an embodiment of the present disclosure, the sequence data related to the energy source includes at least one of: sequence data related to energy resources, sequence data related to energy production load, sequence data related to environment, sequence data related to energy reserves, sequence data related to energy consumption.
According to embodiments of the present disclosure, the sequence data related to the energy resource may include one or more of a day-ahead clearing energy resource, such as a day-ahead clearing power price, a real-time clearing energy resource, such as a real-time clearing power price, and the like. But is not limited thereto. Medium-to-long term settlement energy resources such as medium-to-long term settlement electricity prices may also be included.
According to an embodiment of the present disclosure, the sequence data related to the energy production load may include: one or more of the sequence data of the adjustable load, the photovoltaic load, the wind power generation load, etc. which can reflect the thermal power load, but is not limited thereto, and may also include the electricity storage load sequence data of the electricity storage device, etc.
According to an embodiment of the present disclosure, the sequence data related to the environment may include: one or more of the sequence data of the wind speed, the wind direction, the light emittance, the outdoor temperature, etc. at the city level, the county level, but not limited thereto, may include holiday data at a future time.
According to embodiments of the present disclosure, the sequence data related to the energy reserves may include one or more of the sequence data of reserves, production, import and export, etc. of each of the plurality of energy sources of different kinds. The plurality of energy sources may include a plurality of coal, oil, gas, water power, wind power, solar energy, and the like.
According to an embodiment of the present disclosure, the sequence data related to the energy consumption may include one or more of the sequence data of the consumption amount, the consumption trend, the use, the consumption ratio, and the like of each of the plurality of energy sources of different kinds.
According to the embodiment of the disclosure, the sequence data related to the energy source is covered with the sequence data related to the energy source, the sequence data related to the energy source production load and the sequence data related to the environment, so that the sequence data related to the energy source contains abundant data types including observation factors, static factors, foreseeable factors and the like, the factor range participating in evaluating the energy source is wide, the variety is full, and the obtained energy source time sequence is accurate and effective.
Fig. 4 schematically illustrates a flow diagram of determining energy resource timing according to an embodiment of the disclosure.
As shown in fig. 4, the energy resource-related sequence data 410, the energy production load-related sequence data 420, the environment-related sequence data 430, the energy reserve-related sequence data 440, and the energy consumption-related sequence data 450, which are respectively input to the energy resource evaluation model M410 at time intervals of minutes, hours, months, and the like, may be input to the energy resource evaluation model M410 to obtain an energy resource time sequence 460 for a future target period, for example, for N times in the future.
According to an embodiment of the present disclosure, for operation S230 as shown in fig. 2, generating an energy storage control policy based on energy resource timing may include: a sequence of limiting conditions is determined based on the energy storage device sequence data related to the energy production load. And determining a charge-discharge power sequence based on the limiting condition sequence and the energy resource time sequence. And generating an energy storage control strategy according to the charge and discharge power sequence.
According to embodiments of the present disclosure, the sequence data related to the energy production load may include sequence data related to the energy production load at each of a plurality of different time points. The sequence data related to the energy production load may be the production power of the energy storage device such as the charging power, but is not limited thereto, and may include the discharging power, the charging efficiency, the maximum capacity of the storage battery, or the like.
According to embodiments of the present disclosure, a sequence of limiting conditions may be determined based on sequence data of the energy storage device related to energy production load. The sequence of constraints may include constraints for each of a plurality of different time points. Each constraint corresponds to a point in time.
According to embodiments of the present disclosure, mixed integer linear programming problem modeling may be performed based on a sequence of constraints. The restrictions expressed by the following formula.
Wherein (1)>The battery discharge power at time i is indicated.
Wherein (1)>The battery charge power at time i is indicated.
According to embodiments of the present disclosure, it is contemplated that the battery may only be within the same time window (e.g., 1 hour)One of charging and discharging can be selected. Introducing a b i Variable to convert decision variables into legal linear constraints, where b i 0 or 1.
Wherein M represents the rated capacity of the storage battery, C i Indicating the amount of electricity supplied to the outside at the i-th time,representing the internally stored power at time i, t identifies a future target period.
According to the embodiment of the present disclosure, the battery remaining capacity SOC limit condition may also be set.
For example, that is, the battery remaining capacity SOC at each time is required to meet a threshold value, the threshold value may be 0.1 to 0.9, see the following formula.
soc min ≤soc i ≤soc max ；
Wherein, the soc min Can be 0.1, soc max May be 0.9.
According to the embodiment of the disclosure, a battery remaining capacity calculation formula after charging and discharging decision variables can also be introduced, see the following formula.
Where e represents battery charging efficiency.
According to an embodiment of the present disclosure, determining the charge-discharge power sequence based on the constraint condition sequence and the energy resource timing may include: and determining a charge-discharge power sequence based on the limiting condition sequence, the energy resource time sequence and the objective function.
According to embodiments of the present disclosure, the objective function may settle the electricity fee for charge and discharge benefits, such as a terminal.
The objective function can be found in the following formula.
J＝Max(Gain power -Penalty income )；
Wherein J represents charge and discharge benefits, gain power Representing revenue resources, penalty income Representing a expenditure resource.
According to embodiments of the present disclosure, the revenue resource may include electric rate revenue for a terminal, for example, the revenue resource may include medium-to-long-term electric rates, day-ahead bias electric rates, real-time bias electric rates. The medium-to-long-term electricity rate may include medium-to-long-term electricity quantity. The day-ahead bias electricity rate may include a day-ahead energy resource such as a day-ahead clear electricity rate (day-ahead electricity quantity-medium-long-term electricity quantity). The real-time offset electricity rate may include real-time pre-energy resources such as real-time out-of-clear electricity rate (real-time electricity quantity-daily electricity quantity).
According to embodiments of the present disclosure, the medium-to-long term electricity prices may be determined by medium-to-long term contracts of the field power station. The current electricity price is obtained by the electric power market through aggregation according to various information, and is published one day in advance. The real-time electricity price is obtained by the real-time aggregation of various information in the electric power market, and cannot be obtained in advance. The energy resource time sequence in the future target period provided by the embodiment of the disclosure can be utilized as a real-time clear electricity price time sequence. But is not limited thereto. The energy resource time sequence in the future target period can also be used as a deviation time sequence between the real-time power output clear price and the day-ahead power output clear price.
According to embodiments of the present disclosure, the payout resources may include power market bias return loss, battery energy storage costs, and the like.
According to the embodiments of the present disclosure, it is possible to output charge and discharge powers at respective L times, which maximize the function value of the objective function, from energy resources at L times in a future target period, for example, real-time electricity prices, and to establish a mixed integer linear programming problem according to the constraint conditions at L times, etc., by solvers such as Gurobi (a global optimizer), CPLEX (a linear programming, mixed integer programming, quadratic programming, and quadratic constraint programming solver), COPT (Cardinal Optimizer, fir solver), etc.
According to embodiments of the present disclosure, charge-discharge power may refer to: the current time is charging and the known charging power or the current time is discharging and the known discharging power. Both charge and discharge are mutually exclusive.
According to the embodiments of the present disclosure, the charge-discharge timing may be obtained based on the charge-discharge power of each of the L times in the future target period. The time-continuous charge-discharge curve can be obtained based on the charge-discharge time sequence. And taking the charge-discharge curve as a charge-discharge strategy. The charge-discharge strategy may be sent to the energy storage device.
According to the embodiment of the present disclosure, the energy resource timing such as real-time clearing electricity price timing of a future target period such as 2 hours in the future can be acquired in advance. The charging and discharging strategy for the next 2 hours can be updated once every other hour, so that the charging and discharging strategy which is the latest at the current moment is adopted by the actual charging and discharging operation executed by the energy storage device.
Fig. 5 schematically illustrates a flow diagram for determining an energy storage control strategy according to an embodiment of the disclosure.
As shown in fig. 5, the energy-related sequence data 510, for example, the energy-resource-related sequence data, the energy production load-related sequence data, and the environment-related sequence data may be input as input data to the energy resource evaluation model M510 to obtain the energy resource time sequence 520 in the future target period.
As shown in fig. 5, the charge-discharge power sequence 530 is determined based on the constraint sequence M520, the energy resource timing 520, and the objective function M530. Based on the charge-discharge power sequence 530, an energy storage control strategy 540 is generated.
According to embodiments of the present disclosure, a fixed period of time, for example, 2 hours, may be taken as the future target period of time. The future target period may also be determined in an optimized manner.
For example, before performing operation S220 as shown in fig. 2, the energy storage control method may further include the operations of: a future target period is determined.
According to embodiments of the present disclosure, the determination of energy resource timing has an important impact on the generation of energy storage control strategies. The energy storage control strategy directly determines how to control the storage and consumption of energy, and further determines the benefits brought by energy storage control.
According to embodiments of the present disclosure, the future target period may refer to a length of time that is the future distance from the current time. In the process of predicting the energy resource time sequence of the future target period, the longer the duration of the future target period is, the lower the calculation accuracy is, and the less accurate the generated energy storage control strategy is. The shorter the duration of the future target period, the higher the calculation accuracy, but the larger the data processing amount is, the more frequently the system responds, and the further the energy consumption of the system is increased.
According to the embodiment of the disclosure, by determining the future target period in an optimized manner, the contradiction between the accuracy of the energy resource timing prediction and the large data processing amount can be balanced, as compared with directly taking the fixed period as the future target period.
According to an embodiment of the present disclosure, determining the future target period may include: a plurality of predetermined history periods is determined. A set of historical data relating to an energy source is obtained. A target predetermined history period is determined from a plurality of predetermined history periods based on the set of history data. Based on the target history period, a future target period is determined.
According to the embodiment of the present disclosure, a plurality of predetermined history periods, for example, a predetermined history period L1, a predetermined history period L2, a predetermined history period L3, a predetermined history period L4, are determined, and are not limited to 4, and may be any plurality of predetermined history periods.
According to embodiments of the present disclosure, a set of historical data relating to an energy source may be obtained, and a plurality of energy storage yields corresponding one-to-one to a plurality of predetermined historical periods may be determined from the set of historical data. And taking the preset historical time period with the highest energy storage yield as a target preset historical time period. For example, the predetermined history period L4 is a target history period. But is not limited thereto. It is also possible to determine a plurality of energy storage gain differences in one-to-one correspondence with a plurality of predetermined history periods. And taking the preset historical time period with the lowest energy storage income difference as a target preset historical time period.
According to embodiments of the present disclosure, the duration of the target history period may be based on the duration of the future target period. A future target period is determined based on the current time and the duration of the future target period.
For example, the duration of the target history period is 2 hours, and the current time is 5:00, then the future target period is 5:00 to 7:00.
according to the embodiment of the disclosure, the target history period is determined from a plurality of predetermined history periods by using the history data set related to the energy source, and the future target period is determined based on the target history period, so that the determined future target period can be combined with the actual, and the method is accurate and effective.
According to an embodiment of the present disclosure, determining a target predetermined history period from a plurality of predetermined history periods based on a set of history data includes: based on the historical data set, a historical energy resource timing for each of a plurality of predetermined historical periods is determined. A target historical period is determined from a plurality of predetermined historical periods based on the plurality of historical energy resource timings and the plurality of target historical data.
According to an embodiment of the present disclosure, each of the plurality of target history data is determined from the set of history data based on a predetermined history period that matches the target history data.
According to an embodiment of the present disclosure, determining a target historical period from among a plurality of predetermined historical periods based on a plurality of historical energy resource timings and a plurality of target historical data may include: based on the plurality of historical energy resource timings and the plurality of target historical data, a rate of return or a difference in return for each of a plurality of predetermined historical periods is determined. A target historical period is determined from the plurality of predetermined historical periods based on a rate of return or a difference in return for each of the plurality of predetermined historical periods.
According to an embodiment of the present disclosure, determining a historical energy resource timing for each of a plurality of predetermined historical periods based on a historical data set may include: for each predetermined historical period, historical sequence data relating to the energy source corresponding to the predetermined historical period is determined from the set of historical data. Operation S220 shown in fig. 2 is performed on the history sequence data related to the energy source, and the energy source is evaluated on the history sequence data related to the energy source, resulting in a history energy source time sequence within a predetermined history period.
According to an embodiment of the present disclosure, determining a rate of return or a difference in return for each of a plurality of predetermined historical periods based on a plurality of historical energy resource timings and a plurality of target historical data may include: for each predetermined history period, a target revenue for the predetermined history period is derived based on the energy resource timing, the history constraint, and the objective function for the predetermined history period. The rate of return or the rate of return difference is determined based on the target return and the target historical data within the predetermined historical period.
According to embodiments of the present disclosure, the target historical data may include actual revenue over a predetermined historical period.
According to embodiments of the present disclosure, the yield may include |target yield-target history data|/target history data. The benefit difference may include |target benefit-target history data|.
According to the embodiment of the present disclosure, a predetermined history period with the maximum yield may be taken as the target history period. But is not limited thereto. The plurality of predetermined history periods may be ordered according to the duration, and the predetermined history period corresponding to the first converged yield may be used as the target history period.
According to the embodiment of the disclosure, the target historical period is determined from a plurality of preset historical periods through the historical data set, and the actual data can be taken as a reference in combination with an actual scene, so that the prediction of the future target period is accurate and effective. In addition, a plurality of historical energy resource time sequences corresponding to a plurality of preset historical time periods one by one are determined by adopting a historical data set, a target historical time period is determined from the plurality of preset historical time periods based on the plurality of historical energy resource time sequences, a future target time period is determined based on the target historical time period, and errors caused by lack of information such as thermal power generation, blocking nodes, network loss, demand sides and the like can be compensated by utilizing the future target time period in the operation of evaluating the energy resources.
FIG. 6 schematically illustrates a schematic view of the impact of yield on a decision window according to an embodiment of the disclosure.
As shown in fig. 6, the abscissa of the curve represents the duration of the decision window, and the ordinate of the curve represents the yield. The duration of each decision window represents a predetermined history period. A plurality of predetermined history periods may be set at equal time intervals to obtain respective durations of a plurality of decision windows. Based on the historical data set, the yield rate corresponding to the decision windows one by one can be obtained.
As shown in fig. 6, in the case where the duration of the decision window is 10h, the rate of return occurs at an inflection point, for example, the rate of return reaches a minimum predetermined history duration of convergence. It has been demonstrated that even if an accurate energy resource time series of more than 10 hours is determined, an increase in the real-time yield cannot be brought about. The preset historical time period with the inflection point of the yield rate is used as the target historical time period, the future target time period is determined based on the target historical time period, and the influence of errors of long-term prediction energy resource time sequence on energy storage control strategy planning can be well balanced.
According to an embodiment of the present disclosure, for operation S240 as shown in fig. 2, transmitting the energy storage control strategy to the energy storage device may include: a gateway device associated with the energy storage device is determined. The target feedback storage space is determined from the plurality of feedback storage spaces based on the gateway device and the mapping relationship. The mapping relation is used for representing the matching relation between the gateway equipment and the feedback storage space. And adding an energy storage control strategy to the target feedback storage space. And acquiring an energy storage control strategy from the target storage space through gateway equipment, and sending the energy storage control strategy to an energy storage device.
According to embodiments of the present disclosure, the energy storage control strategy may be directly transmitted to the energy storage device through the server. But is not limited thereto. The energy storage control strategy can also be added to the target feedback storage space, so that the gateway device obtains the energy storage control strategy from the target feedback storage space and sends the energy storage control strategy to the energy storage device.
According to embodiments of the present disclosure, the feedback storage space may refer to a space for storing the energy storage control strategy. The type of feedback storage space is not limited, and may include, for example, a message queue, and may also include a buffer.
According to embodiments of the present disclosure, a first mapping relationship between a gateway device and a feedback storage space may be established. For example, gateway device a matches feedback storage space a and gateway device B matches feedback storage space B. A second mapping relationship between the gateway device and the energy storage device may also be established. For example, gateway device a matches energy storage device a and gateway device B matches energy storage device B.
According to an embodiment of the disclosure, in case that the energy storage control policy is determined to be used for sending to the energy storage device B, it is determined that the gateway apparatus associated with the energy storage device B is the gateway apparatus B according to the second mapping relation. And determining the target feedback storage space as a feedback storage space B according to the first mapping relation.
According to the embodiment of the disclosure, the mapping relation between the gateway equipment and the feedback storage space is established, so that the fault point can be positioned in a time-saving, labor-saving and quick manner under the condition that communication is failed.
Fig. 7 schematically illustrates a system link diagram for transmitting data according to an embodiment of the disclosure.
As shown in fig. 7, establishing a communication link, such as an HTTP or TCP communication link, between the network management device 720 and the control system 740 may utilize a middleware message queue 730, such as a rabhitmq (Rabbit Message Queue, a type of message queue), to ensure message reliability. When reporting data, the gateway device 720 is the sender, and adds the energy related data sent by the sensor 710 to the message queue 730. Control system 740 acts as a consumer to consume data from message queue 730 and write it to the database.
As shown in fig. 7, when issuing the energy storage control strategy, control system 740 is the sender, adding the energy storage control strategy to the target feedback storage space, such as message queue 760. The gateway device 720 is in the role of a consumer, retrieving the energy storage control policy from the message queue 760 and sending the energy storage control policy to the energy storage means 750.
Fig. 8 schematically illustrates a block diagram of a control device of an energy storage device according to an embodiment of the disclosure.
As shown in fig. 8, the control device 800 of the energy storage device may include: a first acquisition module 810, an evaluation module 820, a generation module 830, and a transmission module 840.
A first obtaining module 810 is configured to obtain, from the message queue, sequence data related to the energy source.
And the evaluation module 820 is used for evaluating the energy resource based on the sequence data related to the energy source to obtain the energy resource time sequence in the future target period.
The generating module 830 is configured to generate an energy storage control policy based on the energy resource timing.
And the sending module 840 is configured to send the energy storage control policy to the energy storage device, so that the energy storage device controls the storage of energy according to the energy storage control policy.
According to an embodiment of the present disclosure, the control device of the energy storage device may further include: the device comprises a first determining module, a second acquiring module, a second determining module and a third determining module.
The first determining module is used for determining a plurality of preset historical time periods.
And the second acquisition module is used for acquiring a historical data set related to the energy source.
And a second determining module for determining a target predetermined history period from among a plurality of predetermined history periods based on the set of history data.
And a third determining module for determining a future target period based on the target history period.
According to an embodiment of the present disclosure, the third determining module includes: the first determination sub-module and the second determination sub-module.
The first determining sub-module is used for determining the historical energy resource time sequence of each of a plurality of preset historical time periods based on the historical data set.
And a second determining sub-module for determining a target historical period from a plurality of predetermined historical periods based on the plurality of historical energy resource timings and the plurality of target historical data.
According to an embodiment of the present disclosure, the evaluation module includes: the device comprises an extraction submodule, a coding submodule, a transformation submodule and a regression submodule.
And the extraction submodule is used for extracting the characteristics of the sequence data to obtain periodic characteristics.
And the coding submodule is used for coding the periodic characteristics to obtain coding characteristics.
And the transformation submodule is used for carrying out linear transformation on the coding characteristic to obtain a transformation characteristic.
And the regression sub-module is used for carrying out regression on the transformation characteristics to obtain the energy resource time sequence.
According to an embodiment of the present disclosure, the first acquisition module includes: the device comprises a receiving sub-module, a first adding sub-module and an obtaining sub-module.
And the receiving sub-module is used for receiving the data related to the energy source sent by the external device through the gateway equipment.
A first adding sub-module for adding, by the gateway device, data related to the energy source to the message queue.
And the acquisition sub-module is used for acquiring a plurality of data related to the energy source from the message queue to obtain the sequence data related to the energy source.
According to an embodiment of the present disclosure, a transmitting module includes: the system comprises a third determining sub-module, a fourth determining sub-module, a second adding sub-module and a sending sub-module.
A third determination submodule for determining a gateway device associated with the energy store.
And a fourth determining sub-module, configured to determine a target feedback storage space from the plurality of feedback storage spaces based on the gateway device and the mapping relationship. The mapping relation is used for representing the matching relation between the gateway equipment and the feedback storage space.
And the second adding sub-module is used for adding the energy storage control strategy to the target feedback storage space.
And the transmitting sub-module is used for acquiring the energy storage control strategy from the target storage space through the gateway equipment and transmitting the energy storage control strategy to the energy storage device.
According to an embodiment of the present disclosure, the generating module includes: a fifth determination sub-module, a sixth determination sub-module, and a generation sub-module.
And a fifth determination submodule for determining a limiting condition sequence based on the sequence data of the energy storage device related to the energy production load.
And the sixth determining submodule is used for determining a charging and discharging power sequence based on the limiting condition sequence and the energy resource time sequence.
And the generation sub-module is used for generating an energy storage control strategy according to the charge and discharge power sequence.
According to an embodiment of the present disclosure, the sequence data related to the energy source includes at least one of: sequence data related to energy resources, sequence data related to energy production load, sequence data related to environment.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
According to an embodiment of the present disclosure, an electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as in an embodiment of the present disclosure.
According to an embodiment of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method as in an embodiment of the present disclosure.
According to an embodiment of the present disclosure, a computer program product comprising a computer program which, when executed by a processor, implements a method as an embodiment of the present disclosure.
Fig. 9 shows a schematic block diagram of an example electronic device 900 that may be used to implement embodiments of the present disclosure. 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. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, 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 disclosure described and/or claimed herein.
As shown in fig. 9, the apparatus 900 includes a computing unit 901 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 902 or a computer program loaded from a storage unit 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the device 900 can also be stored. The computing unit 901, the ROM 902, and the RAM 903 are connected to each other by a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.
Various components in device 900 are connected to an input/output (I/O) interface 905, including: an input unit 906 such as a keyboard, a mouse, or the like; an output unit 907 such as various types of displays, speakers, and the like; a storage unit 908 such as a magnetic disk, an optical disk, or the like; and a communication unit 909 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 909 allows the device 900 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunications networks.
The computing unit 901 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 901 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the respective methods and processes described above, for example, the control method of the energy storage device. For example, in some embodiments, the method of controlling the energy storage device may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 900 via the ROM 902 and/or the communication unit 909. When the computer program is loaded into the RAM 903 and executed by the computing unit 901, one or more steps of the control method of the energy storage device described above may be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to perform the control method of the energy storage device by any other suitable means (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), complex 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.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code 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 this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable 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. 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 a computer 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 pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. 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), and the internet.
The computer system may include a client and a server. 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 may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
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 recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. 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 disclosure are intended to be included within the scope of the present disclosure.

Claims (12)

1. A method of controlling an energy storage device, comprising:
acquiring sequence data related to energy from a message queue;
based on the sequence data related to the energy, evaluating the energy resources to obtain energy resource time sequences in a future target period;
generating an energy storage control strategy based on the energy resource time sequence; and
and sending the energy storage control strategy to the energy storage device so that the energy storage device controls the storage of energy according to the energy storage control strategy.
2. The method of claim 1, further comprising:
determining a plurality of predetermined history periods;
acquiring a historical data set related to energy sources;
determining a target predetermined history period from within the plurality of predetermined history periods based on the set of history data; and
the future target period is determined based on the target history period.
3. The method of claim 2, wherein the determining a target predetermined history period from within the plurality of predetermined history periods based on the set of history data comprises:
determining a historical energy resource timing for each of the plurality of predetermined historical periods based on the historical data set; and
a target historical period is determined from the plurality of predetermined historical periods based on a plurality of the historical energy resource timings and a plurality of target historical data.
4. A method according to any one of claims 1 to 3, wherein said evaluating energy resources based on said energy-related sequence data, resulting in a time sequence of energy resources within a future target period, comprises:
extracting the characteristics of the sequence data to obtain periodic characteristics;
coding the periodic characteristics to obtain coding characteristics;
Performing linear transformation on the coding features to obtain transformation features; and
and carrying out regression on the transformation characteristics to obtain the energy resource time sequence.
5. The method of any of claims 1-4, wherein the retrieving energy-related sequence data from a message queue comprises:
receiving, by the gateway device, data related to the energy source transmitted by the external device;
adding, by the gateway device, the energy related data to the message queue; and
and acquiring a plurality of data related to the energy source from the message queue to obtain the sequence data related to the energy source.
6. The method of claim 5, wherein the transmitting the energy storage control strategy to the energy storage device comprises:
determining a gateway device associated with the energy storage apparatus;
determining a target feedback storage space from a plurality of feedback storage spaces based on the gateway equipment and a mapping relation, wherein the mapping relation is used for representing a matching relation between the gateway equipment and the feedback storage space;
adding the energy storage control strategy to the target feedback storage space; and
and acquiring the energy storage control strategy from the target storage space through the gateway equipment, and sending the energy storage control strategy to the energy storage device.
7. The method of any of claims 1-6, wherein the generating an energy storage control strategy based on the energy resource timing comprises:
determining a sequence of limiting conditions based on the energy storage device's sequence data related to energy production load;
determining a charging and discharging power sequence based on the limiting condition sequence and the energy resource time sequence; and
and generating the energy storage control strategy according to the charge and discharge power sequence.
8. The method of any one of claims 1 to 7, wherein the energy-related sequence data comprises at least one of:
sequence data related to energy resources, sequence data related to energy production load, sequence data related to environment, sequence data related to energy reserves, sequence data related to energy consumption.
9. A control device of an energy storage device, comprising:
the first acquisition module is used for acquiring the sequence data related to the energy from the message queue;
the evaluation module is used for evaluating the energy resources based on the sequence data related to the energy sources to obtain energy resource time sequences in a future target period;
the generation module is used for generating an energy storage control strategy based on the energy resource time sequence; and
And the sending module is used for sending the energy storage control strategy to the energy storage device so that the energy storage device can control the storage of energy according to the energy storage control strategy.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 8.
11. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1 to 8.
12. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 8.
CN202310995144.4A 2023-08-08 2023-08-08 Control method and device of energy storage device, electronic equipment and storage medium Pending CN117039955A (en)

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