CN117638927A - Flexible operation control method, system and storage medium of power grid interactive micro-grid system - Google Patents
Flexible operation control method, system and storage medium of power grid interactive micro-grid system Download PDFInfo
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- CN117638927A CN117638927A CN202410108840.3A CN202410108840A CN117638927A CN 117638927 A CN117638927 A CN 117638927A CN 202410108840 A CN202410108840 A CN 202410108840A CN 117638927 A CN117638927 A CN 117638927A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000002452 interceptive effect Effects 0.000 title claims abstract description 23
- 238000010248 power generation Methods 0.000 claims abstract description 46
- 230000005611 electricity Effects 0.000 claims abstract description 36
- 230000008901 benefit Effects 0.000 claims abstract description 31
- 238000004146 energy storage Methods 0.000 claims abstract description 30
- 238000007599 discharging Methods 0.000 claims abstract description 26
- 238000011217 control strategy Methods 0.000 claims abstract description 14
- 238000004590 computer program Methods 0.000 claims description 14
- 230000000694 effects Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 5
- 230000003993 interaction Effects 0.000 description 4
- 238000013486 operation strategy Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The application relates to a flexible operation control method, a system and a storage medium of an interactive micro-grid system of a power grid, wherein the method comprises the following steps: the method comprises the steps of obtaining comprehensive photovoltaic Internet surfing benefits, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients, determining a flexible operation logic strategy based on the comprehensive photovoltaic Internet surfing benefits, the time-of-day electricity prices, the energy storage cost and the battery charging and discharging efficiency coefficients, predicting output load power and photovoltaic power generation data based on a prediction model, determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data, and generating a self-adaptive flexible operation control strategy according to the target key index value. The flexible operation logic strategy is formulated by taking comprehensive photovoltaic Internet access benefits, time-of-day electricity prices, energy storage cost and battery charge-discharge efficiency coefficients as the basis, and target key index values of the flexible operation logic strategy are determined according to load power and photovoltaic power generation data, so that a self-adaptive flexible operation control strategy is generated, and the gap between the target benefits and actual operation effects is reduced.
Description
Technical Field
The application relates to the technical field of optical storage direct-flexible systems, in particular to a flexible operation control method, a flexible operation control system, computer equipment and a storage medium of an electric network interactive micro-grid system.
Background
Currently, building and park light storage straight and flexible system technology has been developed to some extent. The flexible operation control technology is used as a core technology of a building light storage direct-flexible system technology, and is a key for realizing carbon reduction and income maximization in an operation stage. However, the current flexible operation control technology mode is fixed and single, and the technical problem that the theoretical operation target and the actual operation effect have a large difference exists.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a flexible operation control method, a system, a computer device and a storage medium for an interactive micro-grid system of a power grid.
In a first aspect, a flexible operation control method of an electric network interaction micro-grid system is provided, where the flexible operation control method of the electric network interaction micro-grid system includes:
obtaining comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients;
determining a flexible operation logic strategy based on the photovoltaic internet comprehensive benefit, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient;
predicting output load power and photovoltaic power generation data based on a prediction model;
determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data;
and generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy.
In a second aspect, a flexible operation control system of an electric network interaction micro-grid system is provided, and the flexible operation control system of the electric network interaction micro-grid system includes:
the first acquisition module is used for acquiring comprehensive photovoltaic Internet surfing benefits, time period electricity prices, energy storage cost and battery charging and discharging efficiency coefficients;
the logic strategy determining module is used for determining a flexible operation logic strategy based on the photovoltaic Internet comprehensive income, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient;
the second acquisition module is used for predicting output load power and photovoltaic power generation data based on a prediction model;
the index value determining module is used for determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data;
and the control strategy generation module is used for generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy.
In a third aspect, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of the first aspect when the computer program is executed.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of the first aspect.
The flexible operation control method, the system, the computer equipment and the storage medium of the power grid interactive micro-grid system comprise the following steps: the method comprises the steps of obtaining comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients, determining a flexible operation logic strategy based on the comprehensive benefits of photovoltaic Internet surfing, the time-of-day electricity prices, the energy storage cost and the battery charging and discharging efficiency coefficients, predicting output load power and photovoltaic power generation data based on a prediction model, determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data, and generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy. The flexible operation logic strategy is formulated by taking comprehensive photovoltaic Internet access benefits, time-of-day electricity prices, energy storage cost and battery charge-discharge efficiency coefficients as the basis, and target key index values of the flexible operation logic strategy are determined according to load power and photovoltaic power generation data, so that a self-adaptive flexible operation control strategy is generated, and the gap between a theoretical operation target and an actual operation effect is reduced.
Drawings
FIG. 1 is a flow chart of a method for controlling flexible operation of an interactive microgrid system in an embodiment;
FIG. 2 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a flexible operation control method of a grid interactive micro-grid system, where the flexible operation control method of the grid interactive micro-grid system includes:
and step S101, obtaining comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients.
The photovoltaic internet comprehensive benefit A (including internet subsidy, electric power transaction and the like), different time period electricity prices (valley time electricity price B, ordinary time electricity price C, high time period electricity price D and peak time electricity price E), energy storage cost Y and battery charging and discharging efficiency coefficient X are obtained.
Step S102, determining a flexible operation logic strategy based on the photovoltaic Internet comprehensive income, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient.
In an alternative embodiment, step S102 specifically includes:
determining operation benefits based on the photovoltaic Internet surfing comprehensive benefits, the time period electricity price and the battery charging and discharging efficiency coefficient;
the flexible operating logic strategy is determined based on the operating returns and the energy storage costs.
In the embodiment of the invention, as shown in the following table, the running benefit a, B, C, D, E, f, g, h, i, j is determined based on the photovoltaic internet comprehensive benefit A, the valley period electricity price B, the normal period electricity price C, the high period electricity price D, the peak period electricity price E and the battery charging and discharging efficiency coefficient. A flexible operating logic strategy is determined based on the operating returns a, b, c, d, e, f, g, h, i, j and the energy storage cost Y.
And step S103, predicting output load power and photovoltaic power generation data based on the prediction model.
In an alternative embodiment, the prediction model includes a load model and a photovoltaic power generation model, and step S103 specifically includes:
obtaining the load power based on the load model;
and obtaining the photovoltaic power generation data based on the photovoltaic power generation model.
In the embodiment of the invention, an initial load model and a photovoltaic power generation model are operated for the first time, and a system initial operation strategy is obtained.
The load model can be a load model formed based on design builder energy consumption simulation software, and the photovoltaic power generation model can be a photovoltaic power generation model formed based on PVsyst software.
Wherein, the initial operation strategy of the system is the initial operation script of the system. The initial operation strategy of the system comprises the following steps: and a flexible operation logic strategy determined by comprehensive photovoltaic Internet access income, time-of-day electricity price, energy storage cost, battery charge-discharge efficiency coefficient and the like, and an initial key index value calculated by an initial load model and a photovoltaic power generation model.
After the system is formally operated, data such as outdoor environment parameters, loads, photovoltaic power generation and the like are collected, and an initial load model and a photovoltaic power generation model are continuously calibrated and optimized through deep learning, so that a trained load model and a trained photovoltaic power generation model are obtained. And predicting and outputting the load power at the next moment based on the trained load model, and predicting and outputting the photovoltaic power generation data at the next moment based on the trained photovoltaic power generation model. The next time may be the next day of the time of day, and may be set according to actual requirements.
And step S104, determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data.
In the embodiment of the invention, the load power at the next moment is predicted and output based on the trained load model, the photovoltaic power generation data at the next moment is predicted and output based on the trained photovoltaic power generation model, and then the first key index value is determined based on the output load power and the photovoltaic power generation data. And then, updating and calibrating the current key index value of the flexible operation logic strategy based on the first key index value, so as to obtain a target key index value.
In an alternative embodiment, the target key index value comprises at least one of: low operating cost time period charge, high operating cost time period discharge, high revenue time period discharge.
Step S105, generating an adaptive flexible operation control policy according to the target key index value and the flexible operation logic policy.
The flexible operation control method of the power grid interactive micro-grid system comprises the following steps: the method comprises the steps of obtaining comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients, determining a flexible operation logic strategy based on the comprehensive benefits of photovoltaic Internet surfing, the time-of-day electricity prices, the energy storage cost and the battery charging and discharging efficiency coefficients, predicting output load power and photovoltaic power generation data based on a prediction model, determining a first key index value according to the load power and the photovoltaic power generation data, updating and calibrating a current key index value of the flexible operation logic strategy based on the first key index value to obtain a target key index value, and generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy. The flexible operation logic strategy is formulated according to comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients, and target key index values of the flexible operation logic strategy are determined according to load power and photovoltaic power generation data, so that the charging and discharging amounts of energy storage are continuously adjusted, a self-adaptive flexible operation control strategy is generated, and the gap between a theoretical operation target and an actual operation effect is reduced.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed in rotation or alternatively with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, a flexible operation control system of a grid interactive micro-grid system is provided, the flexible operation control system of the grid interactive micro-grid system includes:
the first acquisition module is used for acquiring comprehensive photovoltaic Internet surfing benefits, time period electricity prices, energy storage cost and battery charging and discharging efficiency coefficients;
the logic strategy determining module is used for determining a flexible operation logic strategy based on the photovoltaic Internet comprehensive income, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient;
the second acquisition module is used for predicting output load power and photovoltaic power generation data based on a prediction model;
the index value determining module is used for determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data;
and the control strategy generation module is used for generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy.
In an alternative embodiment, the logic policy determination module is configured to:
determining operation benefits based on the photovoltaic Internet surfing comprehensive benefits, the time period electricity price and the battery charging and discharging efficiency coefficient;
the flexible operating logic strategy is determined based on the operating returns and the energy storage costs.
In an alternative embodiment, the predictive model includes a load model and a photovoltaic power generation model; the second acquisition module is configured to:
obtaining the load power based on the load model;
and obtaining the photovoltaic power generation data based on the photovoltaic power generation model.
In an alternative embodiment, the target key index value comprises at least one of:
low operating cost time period charge, high operating cost time period discharge, high revenue time period discharge.
The related description of the flexible operation control system of the power grid interactive micro-grid system refers to the related description of the flexible operation control method of the power grid interactive micro-grid system, and is not repeated herein.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in FIG. 2. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a flexible operation control method of the power grid interactive micro-grid system.
It will be appreciated by those skilled in the art that the structure shown in fig. 2 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the various embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the various embodiments above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The flexible operation control method of the power grid interactive micro-grid system is characterized by comprising the following steps of:
obtaining comprehensive benefits of photovoltaic Internet surfing, time-of-day electricity prices, energy storage cost and battery charging and discharging efficiency coefficients;
determining a flexible operation logic strategy based on the photovoltaic internet comprehensive benefit, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient;
predicting output load power and photovoltaic power generation data based on a prediction model;
determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data;
and generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy.
2. The flexible operation control method of the grid-interaction micro-grid system according to claim 1, wherein the determining a flexible operation logic strategy based on the photovoltaic internet comprehensive benefit, the time-of-day electricity price, the energy storage cost and the battery charge-discharge efficiency coefficient comprises:
determining operation benefits based on the photovoltaic Internet surfing comprehensive benefits, the time period electricity price and the battery charging and discharging efficiency coefficient;
the flexible operating logic strategy is determined based on the operating returns and the energy storage costs.
3. The flexible operation control method of the power grid interactive micro-grid system according to claim 1, wherein the prediction model comprises a load model and a photovoltaic power generation model; the predicting output load power and photovoltaic power generation data based on the prediction model includes:
obtaining the load power based on the load model;
and obtaining the photovoltaic power generation data based on the photovoltaic power generation model.
4. The flexible operation control method of a grid interactive micro-grid system according to claim 1, wherein the target key index value comprises at least one of the following:
low operating cost time period charge, high operating cost time period discharge, high revenue time period discharge.
5. The utility model provides a flexible operation control system of electric wire netting interactive micro-grid system which characterized in that, the flexible operation control system of electric wire netting interactive micro-grid system includes:
the first acquisition module is used for acquiring comprehensive photovoltaic Internet surfing benefits, time period electricity prices, energy storage cost and battery charging and discharging efficiency coefficients;
the logic strategy determining module is used for determining a flexible operation logic strategy based on the photovoltaic Internet comprehensive income, the time period electricity price, the energy storage cost and the battery charging and discharging efficiency coefficient;
the second acquisition module is used for predicting output load power and photovoltaic power generation data based on a prediction model;
the index value determining module is used for determining a target key index value of the flexible operation logic strategy according to the load power and the photovoltaic power generation data;
and the control strategy generation module is used for generating a self-adaptive flexible operation control strategy according to the target key index value and the flexible operation logic strategy.
6. The grid interactive microgrid system flexible operation control system according to claim 5, wherein said logic policy determination module is configured to:
determining operation benefits based on the photovoltaic Internet surfing comprehensive benefits, the time period electricity price and the battery charging and discharging efficiency coefficient;
the flexible operating logic strategy is determined based on the operating returns and the energy storage costs.
7. The grid interactive micro-grid system flexible operation control system according to claim 5, wherein the prediction model comprises a load model and a photovoltaic power generation model; the second acquisition module is used for:
obtaining the load power based on the load model;
and obtaining the photovoltaic power generation data based on the photovoltaic power generation model.
8. The grid interactive micro-grid system flexible operation control system according to claim 5, wherein the target key index value comprises at least one of:
low operating cost time period charge, high operating cost time period discharge, high revenue time period discharge.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
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| WO2016176727A1 (en) * | 2015-05-01 | 2016-11-10 | The University Of Sydney | Operation scheduling of power generation, storage and load |
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| CN116316735A (en) * | 2023-03-27 | 2023-06-23 | 国网河北省电力有限公司经济技术研究院 | Multi-time scale optimization method and device for source network storage based on interval time division |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016176727A1 (en) * | 2015-05-01 | 2016-11-10 | The University Of Sydney | Operation scheduling of power generation, storage and load |
| CN109193812A (en) * | 2018-09-25 | 2019-01-11 | 科大智能（合肥）科技有限公司 | A kind of garden light storage lotus micro-capacitance sensor economic load dispatching implementation method |
| CN114301093A (en) * | 2021-12-28 | 2022-04-08 | 中建科技集团北京低碳智慧城市科技有限公司 | Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium |
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