CN111740435B - Energy storage configuration method and related device of new energy power generation system - Google Patents
Energy storage configuration method and related device of new energy power generation system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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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
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
- H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
- H02J3/1871—Methods for planning installation of shunt reactive power compensators
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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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
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The application discloses an energy storage configuration method of a new energy power generation system, which comprises the steps of obtaining historical electric energy quality event data of the new energy power generation system; determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one; and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost. The method can obtain a configuration scheme which is more practical, realizes the stable operation of the power generation system under the condition of not using a high-capacity energy storage system, and is beneficial to wide popularization and use. The application also discloses an energy storage configuration device, equipment and a computer readable storage medium of the new energy power generation system, which have the technical effects.
Description
Technical Field
The application relates to the technical field of new energy power generation, in particular to an energy storage configuration method of a new energy power generation system; also relates to an energy storage configuration device, equipment and a computer readable storage medium of the new energy power generation system.
Background
Compared with the traditional fossil energy, the new energy such as wind energy, solar energy, water energy and the like has the characteristics of wide resource distribution, large reserve, no pollution and the like. The development of new energy is enhanced, the large-scale utilization of the new energy is realized, and the method has important significance for relieving the current serious environmental pollution and resource exhaustion.
However, as the installed capacity and permeability of the new energy power generation system are continuously improved, the inherent randomness and volatility of the new energy power generation system have many negative effects on the stable operation of the new energy power generation system. The energy storage device is an effective measure for inhibiting output power fluctuation of the new energy power generation system. At present, the requirements for the technical performance of large-scale energy storage system capacity, charge and discharge power, energy storage life and the like are more and more strict, and the large-capacity energy storage system is usually expensive and cannot be widely popularized and used.
Therefore, how to realize stable operation of the power generation system without using a large-capacity energy storage system has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide an energy storage configuration method of a new energy power generation system, which can realize stable operation of the power generation system under the condition of not using a high-capacity energy storage system and is beneficial to wide popularization and use. Another object of the present application is to provide an energy storage configuration apparatus, a device and a computer readable storage medium of a new energy power generation system, all of which have the above technical effects.
In order to solve the technical problem, the present application provides an energy storage configuration method for a new energy power generation system, including:
acquiring historical electric energy quality event data of a new energy power generation system;
determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one;
and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
Optionally, the historical power quality event data includes transient power event data and steady-state power event data.
Optionally, before selecting the configuration scheme with the lowest cost from the configuration schemes by using a multi-group differential evolution algorithm, and selecting an optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost, the method further includes:
and according to the electricity utilization habits of the electricity utilization cell area where the new energy power generation system is located, removing the configuration schemes which do not conform to the electricity utilization habits from the configuration schemes.
Optionally, the method further includes:
and respectively configuring an automatic start-stop control module for each reactive compensation module in the new energy power generation system, configuring an electric energy disturbance detection module for the new energy power generation system, detecting electric energy disturbance through the electric energy disturbance detection module, and awakening the corresponding reactive compensation module through the automatic start-stop control module when the electric energy disturbance is detected.
Optionally, the electric energy disturbance detection module communicates with the automatic start-stop control module in a wireless manner.
Optionally, the electric energy disturbance detection module communicates with the automatic start-stop control module specifically in a LoRa wireless communication mode.
In order to solve the above technical problem, the present application further provides an energy storage configuration device of a new energy power generation system, including:
the acquisition unit is used for acquiring historical electric energy quality event data of the new energy power generation system;
the determining unit is used for determining the configuration schemes of the energy storage device and the corresponding reactive compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one;
and the selection unit is used for selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
Optionally, the method further includes:
and the removing unit is used for removing the configuration schemes which do not accord with the electricity utilization habits from the configuration schemes according to the electricity utilization habits of the electricity utilization cell areas where the new energy power generation system is located.
In order to solve the above technical problem, the present application further provides an energy storage configuration device of a new energy power generation system, including:
a memory for storing a computer program;
a processor for implementing the steps of the energy storage configuration method of the new energy power generation system as described in any one of the above when the computer program is executed.
In order to solve the technical problem, the present application further provides a computer-readable storage medium, where a computer program is stored, and the computer program, when executed by a processor, implements the steps of the energy storage configuration method for a new energy power generation system according to any one of the above.
The application provides an energy storage configuration method of a new energy power generation system, which comprises the following steps: acquiring historical electric energy quality event data of a new energy power generation system; determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one; and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost. Therefore, the energy storage configuration method of the new energy power generation system provided by the application carries out energy storage configuration based on historical electric energy quality event data of the new energy power generation system, and can obtain a configuration scheme which is more in line with reality. In addition, the reactive compensation module is configured for each new energy power generation system, so that the electric energy quality event is compensated through the reactive compensation module, stable operation of the power generation system can be realized under the condition that a large-capacity energy storage system is not used, and wide popularization and use are facilitated.
The energy storage configuration device, the equipment and the computer readable storage medium of the new energy power generation system have the technical effects.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the prior art and the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of an energy storage configuration method of a new energy power generation system according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an energy storage configuration method of another new energy power generation system according to an embodiment of the present application;
fig. 3 is a schematic diagram of an energy storage configuration device of a new energy power generation system according to an embodiment of the present application.
Detailed Description
The core of the application is to provide an energy storage configuration method of the new energy power generation system, which can realize stable operation of the power generation system under the condition of not using a large-capacity energy storage system and is beneficial to wide popularization and use. Another core of the present application is to provide an energy storage configuration apparatus, a device and a computer readable storage medium of a new energy power generation system, all having the above technical effects.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an energy storage configuration method of a new energy power generation system according to an embodiment of the present application, and referring to fig. 1, the energy storage configuration method includes:
s101: acquiring historical electric energy quality event data of a new energy power generation system;
specifically, the step aims to obtain historical electric energy quality event data of the new energy power generation system. The historical power quality event data includes transient power event data and steady state power event data. The transient power event data includes a voltage sag, and the like. The steady state power event data includes upper frequency violations, lower frequency violations, upper voltage violations, lower voltage violations, voltage, current harmonic violations, voltage, current total harmonic distortion violations, imbalance violations, and the like.
S102: determining a configuration scheme of an energy storage device and a corresponding reactive compensation module by adopting a nearest classifier according to historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one by one;
specifically, on the basis of obtaining historical electric energy quality event data of the new energy power generation system, a nearest classifier is further adopted to determine a configuration scheme of the energy storage device and the reactive compensation module according to the historical electric energy quality event data. The step of determining the configuration scheme of the energy storage device refers to determining the type of the energy storage device which meets the working condition of the new energy power generation system, namely can meet the impact caused by the electric energy quality event as far as possible. Determining the configuration scheme of the reactive compensation module refers to determining the reactive compensation module capable of compensating the power quality event. The reactive compensation modules are in one-to-one correspondence with the new energy power generation systems, namely each new energy power generation system is provided with one corresponding reactive compensation module, so that the electric energy quality event is compensated through the reactive compensation modules, and the stable operation of the power generation system can be realized under the condition that a large-capacity energy storage system is not used.
S103: and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
Specifically, after step S102 is executed and the configuration schemes of the energy storage device and the reactive compensation module corresponding to the energy storage device are preliminarily determined, this step aims to select an optimal configuration method. Specifically, on the basis of lowest cost and minimum power fluctuation of the new energy power generation system, an optimal configuration scheme is selected from the preliminarily determined configuration method by adopting a multi-group differential evolution algorithm, namely the type of the selected energy storage device and the configuration of the reactive compensation module are the lowest cost and the power fluctuation of the new energy power generation system is the minimum. Naturally, the lowest cost and the minimum power fluctuation of the new energy power generation system in all the configuration schemes are optimal, if the lowest cost and the minimum power fluctuation of the new energy power generation system cannot be achieved at the same time, the configuration scheme with the lowest cost is selected, and the configuration scheme with the minimum power fluctuation of the new energy power generation system is further selected from the configuration schemes with the lowest cost. For example, the cost of the configuration scheme a and the cost of the configuration scheme B are both the lowest, the cost of the configuration scheme C is higher than that of the configuration scheme a and the configuration scheme B, the power fluctuation of the new energy power generation system under the configuration scheme C is the lowest, the power fluctuation of the new energy power generation system under the configuration scheme a is smaller than that of the new energy power generation system under the configuration scheme B, and then the configuration scheme a is selected.
A new energy power generation system corresponds to a set of historical power quality event data and a nearest neighbor classifier. For the nearest classifier and the implementation process of the nearest classifier for determining the energy storage device and the configuration scheme of the reactive compensation module corresponding to the energy storage device, details are not repeated herein, and reference may be made to the related art.
In summary, the energy storage configuration method of the new energy power generation system provided by the present application includes: acquiring historical electric energy quality event data of a new energy power generation system; determining an energy storage device and a configuration scheme of a reactive compensation module corresponding to the energy storage device by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one; and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost. Therefore, the energy storage configuration method of the new energy power generation system provided by the application carries out energy storage configuration based on historical electric energy quality event data of the new energy power generation system, and can obtain a configuration scheme which is more in line with reality. In addition, the reactive compensation module is configured for each new energy power generation system, so that the electric energy quality event is compensated through the reactive compensation module, stable operation of the power generation system can be realized under the condition that a large-capacity energy storage system is not used, and wide popularization and use are facilitated.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another energy storage configuration method of a new energy power generation system according to an embodiment of the present application, and referring to fig. 2, the energy storage configuration method includes:
s201: acquiring historical electric energy quality event data of a new energy power generation system;
s202: determining a configuration scheme of an energy storage device and a corresponding reactive compensation module by adopting a nearest classifier according to historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one by one;
s203: according to the electricity utilization habits of the electricity utilization area where the new energy power generation system is located, the configuration schemes which do not conform to the electricity utilization habits are removed from the configuration schemes.
S204: and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
Specifically, for step S201, step S202, and step S204, details are not repeated herein, and reference may be made to corresponding parts in the first embodiment. In this embodiment, after the steps S201 and S202 are executed, the configuration schemes of the energy storage device and the corresponding reactive compensation module are preliminarily determined, and then the configuration schemes that do not conform to the power utilization habit of the power utilization district are removed from the preliminarily determined configuration method according to the power utilization habit of the power utilization district where the new energy power generation system is located, and then the step S204 is executed, and then the configuration schemes are preferentially selected from the configuration schemes that do not conform to the power utilization habit and based on the lowest cost and the minimum power fluctuation of the new energy power generation system.
According to the embodiment, the configuration scheme which is not in line with the electricity utilization habits is removed from the configuration scheme, so that the electricity utilization habits of different electricity utilization areas can be better met while the stable operation of the power generation system is realized.
Further, in addition to the above embodiments, as a preferred embodiment, the method further includes:
the method comprises the steps that an automatic start-stop control module is respectively configured for each reactive compensation module in the new energy power generation system, an electric energy disturbance detection module is configured for the new energy power generation system, so that electric energy disturbance is detected through the electric energy disturbance detection module, and the reactive compensation module is awakened through the automatic start-stop control module when the electric energy disturbance is detected.
Specifically, each reactive compensation module is provided with an automatic start-stop control module, and each new energy power generation system is provided with an electric energy disturbance detection module. Therefore, whether the new energy power generation system has electric energy disturbance is detected through the electric energy disturbance detection module, and when the electric energy disturbance is detected, the electric energy disturbance detection module and the automatic start-stop control module carry out signal transmission, so that the corresponding reactive power compensation module is awakened.
The electric energy disturbance detection module can acquire electric energy disturbance parameters based on a voltage transformer and a current transformer, correct the electric energy disturbance parameters and further extract the feature vectors of the corrected electric energy disturbance parameters based on the TFT. And further, using ISOM as a classifier, using the corrected feature vector of the electric energy disturbance parameter as a classification parameter, identifying an electric energy quality event, and outputting a configuration scheme of a reactive power compensation module according to an identification result of the electric energy quality based on a BP neural network model.
Furthermore, the electric energy disturbance detection module communicates with the automatic start-stop control module in a wireless mode, and specifically communicates in a LoRa wireless communication mode.
It can be understood that the communication mode between the electric energy disturbance detection module and the automatic start-stop control module is only one implementation mode provided by the application, and is not limited uniquely, and the difference setting can be performed according to actual conditions.
The application also provides an energy storage configuration device of the new energy power generation system, and the device described below can be mutually and correspondingly referred to with the method described above. Referring to fig. 3, fig. 3 is a schematic diagram of an energy storage configuration device of a new energy power generation system according to an embodiment of the present application, and referring to fig. 3, the device includes:
the acquiring unit 10 is used for acquiring historical electric energy quality event data of the new energy power generation system;
the determining unit 20 is configured to determine the configuration schemes of the energy storage device and the corresponding reactive compensation module by using a nearest classifier according to historical power quality event data; the reactive compensation modules correspond to the new energy power generation systems one by one;
the selecting unit 30 is configured to select a configuration scheme with the lowest cost from the configuration schemes by using a multi-group differential evolution algorithm, and select an optimal configuration scheme with the smallest power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost. .
Based on the foregoing embodiment, optionally, the historical power quality event data includes transient power event data and steady-state power event data.
On the basis of the above embodiment, optionally, the method further includes:
and the removing unit is used for removing the configuration schemes which do not accord with the electricity utilization habits from the configuration schemes according to the electricity utilization habits of the electricity utilization cell areas where the new energy power generation systems are located.
On the basis of the above embodiment, optionally, the method further includes:
the configuration unit is used for configuring an automatic start-stop control module for each reactive compensation module in the new energy power generation system respectively, configuring an electric energy disturbance detection module for the new energy power generation system, detecting electric energy disturbance through the electric energy disturbance detection module, and awakening the corresponding reactive compensation module through the automatic start-stop control module when the electric energy disturbance is detected.
On the basis of the above embodiment, optionally, the electric energy disturbance detection module communicates with the automatic start-stop control module in a wireless manner.
On the basis of the above embodiment, optionally, the electric energy disturbance detection module and the automatic start-stop control module are communicated in a LoRa wireless communication mode.
The application also provides an energy storage configuration device of the new energy power generation system, and the energy storage configuration device comprises a memory and a processor. Wherein the memory is used for storing the computer program; a processor for executing a computer program to implement the steps of:
acquiring historical electric energy quality event data of a new energy power generation system; determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one; and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
For the introduction of the device provided in the present application, please refer to the above method embodiment, which is not described herein again.
The present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring historical electric energy quality event data of a new energy power generation system; determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one; and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the apparatus and the computer-readable storage medium disclosed by the embodiments correspond to the method disclosed by the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The energy storage configuration method, device, equipment and computer readable storage medium of the new energy power generation system provided by the application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. An energy storage configuration method of a new energy power generation system is characterized by comprising the following steps:
acquiring historical electric energy quality event data of a new energy power generation system;
determining a configuration scheme of an energy storage device and a corresponding reactive power compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one;
and selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm, and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
2. The energy storage configuration method of claim 1, wherein the historical power quality event data comprises transient power event data and steady state power event data.
3. The energy storage configuration method according to claim 2, wherein before selecting the configuration scheme with the lowest cost from the configuration schemes by using a multi-group differential evolution algorithm, and selecting an optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost, the method further comprises:
and according to the electricity utilization habits of the electricity utilization cell area where the new energy power generation system is located, removing the configuration schemes which do not conform to the electricity utilization habits from the configuration schemes.
4. The energy storage configuration method according to claim 3, further comprising:
and respectively configuring an automatic start-stop control module for each reactive compensation module in the new energy power generation system, configuring an electric energy disturbance detection module for the new energy power generation system, detecting electric energy disturbance through the electric energy disturbance detection module, and awakening the corresponding reactive compensation module through the automatic start-stop control module when the electric energy disturbance is detected.
5. The energy storage configuration method according to claim 4, wherein the electric energy disturbance detection module and the automatic start-stop control module communicate wirelessly.
6. The energy storage configuration method according to claim 5, wherein the electric energy disturbance detection module communicates with the automatic start-stop control module specifically in a LoRa wireless communication manner.
7. An energy storage configuration device of a new energy power generation system is characterized by comprising:
the acquisition unit is used for acquiring historical electric energy quality event data of the new energy power generation system;
the determining unit is used for determining the configuration schemes of the energy storage device and the corresponding reactive compensation module by adopting a nearest classifier according to the historical electric energy quality event data; the reactive compensation modules correspond to the new energy power generation systems one to one;
and the selection unit is used for selecting the configuration scheme with the lowest cost from the configuration schemes by adopting a multi-group differential evolution algorithm and selecting the optimal configuration scheme with the minimum power fluctuation of the new energy power generation system from the configuration schemes with the lowest cost.
8. The energy storage configuration device of claim 7, further comprising:
and the removing unit is used for removing the configuration schemes which do not accord with the electricity utilization habits from the configuration schemes according to the electricity utilization habits of the electricity utilization cell areas where the new energy power generation system is located.
9. An energy storage configuration device of a new energy power generation system, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of energy storage configuration of a new energy power generation system according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for energy storage configuration of a new energy power generation system according to any one of claims 1 to 6.
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