CN114069667B - Energy storage group power distribution method, system, processing equipment and storage medium - Google Patents

Energy storage group power distribution method, system, processing equipment and storage medium Download PDF

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CN114069667B
CN114069667B CN202111337555.1A CN202111337555A CN114069667B CN 114069667 B CN114069667 B CN 114069667B CN 202111337555 A CN202111337555 A CN 202111337555A CN 114069667 B CN114069667 B CN 114069667B
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energy storage
storage system
storage group
time
group
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CN114069667A (en
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曹彬
杨尚丹
张迅
其他发明人请求不公开姓名
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Cecep Wind Power Corp
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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
    • 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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • 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
    • 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
    • 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
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • 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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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention relates to a method, a system, a processing device and a storage medium for energy storage group power distribution, which are characterized in that the method comprises the following steps: determining the average value of the charge states of an energy storage group consisting of a plurality of energy storage systems by adopting a dispersive time-limited convergence device; the invention can improve the consistency of all energy storage systems in the energy storage group, improve the safe operation capability of the energy storage group, eliminate the adverse effect of communication faults on the power distribution of the energy storage group, improve the power control precision of the energy storage group, and can be widely applied to the field of new energy power generation.

Description

Energy storage group power distribution method, system, processing equipment and storage medium
Technical Field
The invention relates to the field of new energy power generation, in particular to a method, a system, processing equipment and a storage medium for energy storage group power distribution.
Background
The energy storage system is an important means for reducing the power generation output fluctuation of new energy sources such as wind power, photovoltaic and the like and improving the stability of a power grid. In order to fully exert the functions of the energy storage systems, a plurality of energy storage systems are often required to be connected in parallel to form an energy storage group with larger capacity. When the energy storage group is charged and discharged, the total power command of the energy storage group needs to be distributed to each energy storage system.
However, since the state of charge, the rated capacity, the rated power, and the like of each energy storage system are different, rapid and accurate allocation of the total power command is difficult.
Disclosure of Invention
In view of the foregoing problems, an object of the present invention is to provide a method, a system, a processing device, and a storage medium for allocating power of an energy storage group, which can allocate a total power instruction quickly and accurately.
In order to achieve the purpose, the invention adopts the following technical scheme: in a first aspect, a method for allocating power of an energy storage group is provided, including:
determining the average value of the charge states of an energy storage group consisting of a plurality of energy storage systems by adopting a dispersive time-limited convergence device;
and distributing the total power of the energy storage groups by adopting a nonlinear distributor according to the average value of the charge states of the energy storage groups to obtain a power instruction value of each energy storage system.
Further, the determining the average value of the states of charge of the energy storage group consisting of a plurality of energy storage systems comprises:
establishing a communication network of the energy storage group according to the energy storage system with the closest air space distance in the energy storage group;
based on the communication network of the established energy storage group, according to the actual communication condition between the energy storage systems with the shortest space in the energy storage group, determining a communication element a between the ith energy storage system and the jth energy storage system with the shortest space in the energy storage groupij；
Determining a limited time and a time-limited convergence gain according to the power dynamic response time requirement of the energy storage group;
determining a dispersion time-limited convergence device according to the determined communication elements, the limited time and the time-limited convergence gain;
and embedding a dispersion time-limited convergence device in each energy storage system of the energy storage group, and estimating the average value of the charge state of the energy storage group through the dispersion time-limited convergence device.
Further, the dispersion time-limited convergence device is:
Figure BDA0003346542270000011
wherein the content of the first and second substances,
Figure BDA0003346542270000021
is xi_ave(t) derivative of; x is the number ofi_ave(t) the average value of the charge states of the energy storage groups calculated by the ith energy storage system at the moment t; t is the time; t is a limited time; k is a time-limited convergence gain; a isijThe communication element between the ith energy storage system and the jth energy storage system is set; x is the number ofj_ave(t) the average value of the charge states of the energy storage groups calculated by the jth energy storage system at the moment t; x is the number ofiAnd (t) is the actual state of charge value of the ith energy storage system at the moment t.
Further, the limiting time T is less than 20ms, and the time-limited convergence gain k is less than or equal to 5.
Further, when communication can be carried out between the ith energy storage system and the jth energy storage system with the air space closest to each other in the energy storage group, aij1 is ═ 1; when the ith energy storage system and the jth energy storage system with the shortest space in the energy storage group can not communicate with each other, aij＝0。
Further, the allocating the total power of the energy storage groups according to the average value of the states of charge of the energy storage groups to obtain the power instruction value of each energy storage system includes:
acquiring a total power instruction of an energy storage group;
acquiring the capacity of each energy storage system;
setting a correction factor according to the weight requirement of power distribution;
determining a nonlinear distributor according to the average value of the states of charge of the energy storage groups, the obtained total power instruction, the capacity of each energy storage system and a set correction factor;
a nonlinear divider is embedded in each energy storage system of the energy storage group, and a power instruction value of each energy storage system is determined through the nonlinear divider.
Further, the non-linear divider is:
Figure BDA0003346542270000022
wherein, Pi_ref(t) is a power instruction value of the ith energy storage system at the moment t; pref(t) is a total power instruction value of the energy storage group at the moment t; gamma is a correction factor; AH (advanced Shell preparation)iThe capacity of the ith energy storage system.
In a second aspect, an energy storage group power distribution system is provided, including:
the system comprises a charge state determining module, a time limit converging device and a time limit control module, wherein the charge state determining module is used for determining the charge state average value of an energy storage group consisting of a plurality of energy storage systems by adopting the time limit converging device;
and the power instruction determining module is used for distributing the total power of the energy storage groups according to the average value of the states of charge of the energy storage groups by adopting a nonlinear distributor to obtain a power instruction value of each energy storage system.
In a third aspect, a processing device is provided, which includes computer program instructions, where the computer program instructions are used to implement the steps corresponding to the energy storage group power allocation method described above when executed by the processing device.
In a fourth aspect, a computer-readable storage medium is provided, where computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the computer program instructions are used to implement the steps corresponding to the energy storage group power allocation method.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention adopts the dispersive time-limited convergence device to carry out rapid and accurate estimation on the average value of the charge state of the energy storage group, can effectively improve the consistency of all energy storage systems in the energy storage group and enhance the safe operation capability of the energy storage group.
2. According to the invention, the total power instruction of the energy storage group is distributed by adopting the nonlinear distributor, so that the adverse effect of communication faults on the power distribution of the energy storage group can be eliminated, and the power control precision of the energy storage group is improved.
In conclusion, the invention can be widely applied to the field of new energy power generation.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like reference numerals refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless specifically identified as an order of performance. It should also be understood that additional or alternative steps may be used.
According to the energy storage group power distribution method, the system, the processing equipment and the storage medium provided by the embodiment of the invention, aiming at the power distribution problem of an energy storage group consisting of a plurality of energy storage systems, the average value of the charge states of the energy storage group is estimated by using a dispersion time-limited convergence device, and then the total power of the energy storage group is distributed by using a nonlinear distributor to obtain the power instruction value of each energy storage system. The following formula is an expression of the energy storage group power distribution model:
Pi_ref＝f(Pref,SOCi,SOCave) (1)
wherein, Pi_refThe power instruction value of the ith energy storage system; prefThe total power instruction value of the energy storage group is obtained; SOCiThe state of charge value of the ith energy storage system; SOCaveThe average value of the charge state of the energy storage group is obtained; f (-) is a complex nonlinear mapping relation between the power command and the total power command of each energy storage system, the charge state value of each energy storage system and the charge state average value of the energy storage group.
According to the expression of the energy storage group power distribution model, the key of the energy storage group power distribution is that each energy storage system can calculate the average value of the state of charge of the energy storage group. Therefore, the control method based on the distributed theory of the invention realizes that the total power instruction value of the energy storage group can be rapidly and accurately distributed to each energy storage system.
Example 1
Based on the above description, as shown in fig. 1, the present embodiment provides a method for allocating power of energy storage groups, including the following steps:
1) determining the average value of the charge states of an energy storage group consisting of a plurality of energy storage systems by adopting a dispersive time-limited convergence device, wherein the method specifically comprises the following steps:
1.1) establishing a communication network of the energy storage group according to the energy storage system with the closest air-space distance in the energy storage group.
1.2) based on the established communication network of the energy storage group, determining a communication element a between the ith energy storage system and the jth energy storage system with the shortest space in the energy storage group according to the actual communication condition between the energy storage systems with the shortest space in the energy storage groupij。
Specifically, when communication can be performed between the ith energy storage system and the jth energy storage system with the air space closest to each other in the energy storage group, aij1 is ═ 1; when the ith energy storage system and the jth energy storage system with the shortest space in the energy storage group can not communicate with each other, aij0; i ≠ j, i ≠ 1,2, … …, n, j ═ 1,2, … …, n, n > 1 is the number of energy storage systems contained in the energy storage group.
1.3) determining a limited time T and a time-limited convergence gain k according to the power dynamic response time requirement of the energy storage group.
Preferably, the limited time T <20ms is generally taken, and the time-limited convergence gain k ≦ 5.
1.4) communication element a according to the determinationijAnd determining a dispersion time-limited convergence device by using the limited time T and the time-limited convergence gain k.
1.5) embedding a dispersion time-limited convergence device in each energy storage system of the energy storage group, and determining the average value of the state of charge of the energy storage group through the dispersion time-limited convergence device.
Further, the dispersion time-limited convergence device is as follows:
Figure BDA0003346542270000041
wherein the content of the first and second substances,
Figure BDA0003346542270000042
is xi_ave(t) derivative of; x is the number ofi_ave(t) the average value of the charge states of the energy storage groups calculated by the ith energy storage system at the moment t; t is time, and t is more than or equal to 0; t is a defined time, and T>t; k is a time-limited convergence gain; a isijThe communication element between the ith energy storage system and the jth energy storage system is set; x is the number ofj_ave(t) the average value of the charge states of the energy storage groups calculated by the jth energy storage system at the moment t; x is the number ofi(t) is the actual value of the state of charge of the ith energy storage system at the moment t; sin is a sine function.
2) The method comprises the following steps of distributing the total power of the energy storage groups by adopting a nonlinear distributor according to the average value of the states of charge of the energy storage groups to obtain a power instruction value of each energy storage system, and specifically comprises the following steps:
2.1) obtaining the total power instruction P of the energy storage group from the superior dispatching systemref(t)。
2.2) obtaining the capacity AH of each energy storage system based on the nameplate of each energy storage systemi。
2.3) setting a correction factor gamma according to the weight requirement of power distribution. Preferably, γ is generally taken to be 0.7.
2.4) average value x of state of charge according to energy storage groupi_ave(t) total Power instruction P obtainedref(t) and capacity AH of each energy storage systemiAnd a set correction factor gamma, determining a non-linear divider.
2.5) embedding a nonlinear divider in each energy storage system of the energy storage group, and determining the power command value P of each energy storage system through the nonlinear divideri_ref(t)。
Further, the non-linear divider is:
Figure BDA0003346542270000051
wherein, Pi_ref(t) is a power instruction value of the ith energy storage system at the moment t; pref(t) is a total power instruction value of the energy storage group at the moment t; gamma is a correction factor, and gamma is more than 0 and less than 1; AH (advanced Shell preparation)iThe capacity of the ith energy storage system.
Example 2
The present embodiment provides an energy storage group power distribution system, including:
and the charge state determining module is used for determining the charge state average value of an energy storage group consisting of a plurality of energy storage systems by adopting a dispersive time-limited convergence device.
And the power instruction determining module is used for distributing the total power of the energy storage groups according to the average value of the states of charge of the energy storage groups by adopting a nonlinear distributor to obtain a power instruction value of each energy storage system.
In a preferred embodiment, the state of charge determination module comprises:
and the communication network establishing module is used for establishing the communication network of the energy storage group according to the energy storage system with the closest air-space distance in the energy storage group.
The communication element determining module is used for determining a communication element a between the ith energy storage system and the jth energy storage system which are closest to each other in the air space of the energy storage group according to the actual communication condition between the energy storage systems which are closest to each other in the air space of the energy storage group based on the established communication network of the energy storage groupij。
And the parameter determining module is used for determining the limited time T and the time-limited convergence gain k according to the power dynamic response time requirement of the energy storage group.
A dispersed time-limited convergence device setting module for setting the convergence device according to the determined communication element aijAnd determining a dispersion time-limited convergence device by using the limited time T and the time-limited convergence gain k.
And the charge state average value determining module is used for embedding a dispersion time-limited convergence device in each energy storage system of the energy storage group and determining the charge state average value of the energy storage group through the dispersion time-limited convergence device.
In a preferred embodiment, the power command determination module includes:
the total power instruction acquisition module is used for acquiring a total power instruction of the energy storage group from the upper-level scheduling system;
the capacity acquisition module is used for acquiring the capacity of each energy storage system based on the nameplate of each energy storage system;
the correction factor setting module is used for setting a correction factor according to the weight requirement of power distribution;
the nonlinear distributor determining module is used for determining a nonlinear distributor according to the average value of the states of charge of the energy storage groups, the obtained total power instruction, the capacity of each energy storage system and a set correction factor;
and the power instruction value determining module is used for embedding a nonlinear divider in each energy storage system of the energy storage group and determining the power instruction value of each energy storage system through the nonlinear divider.
Example 3
This embodiment provides a processing device corresponding to the energy storage group power allocation method provided in embodiment 1, where the processing device may be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, and the like, to execute the method of embodiment 1.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program that can be executed on the processing device, and the processing device executes the energy storage group power allocation method provided by embodiment 1 when executing the computer program.
In some implementations, the Memory may be a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory, such as at least one disk Memory.
In other implementations, the processor may be various general-purpose processors such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), and the like, and is not limited herein.
Example 4
This embodiment provides a computer program product corresponding to the energy storage group power allocation method provided in this embodiment 1, and the computer program product may include a computer readable storage medium on which computer readable program instructions for executing the energy storage group power allocation method described in this embodiment 1 are loaded.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.

Claims (8)

1. A method for allocating power to energy storage groups, comprising:
determining the average value of the charge states of an energy storage group consisting of a plurality of energy storage systems by adopting a dispersive time-limited convergence device, wherein the method comprises the following steps:
establishing a communication network of the energy storage group according to the energy storage system with the closest air space distance in the energy storage group;
based on the communication network of the established energy storage group, according to the actual communication condition between the energy storage systems with the shortest space in the energy storage group, determining a communication element a between the ith energy storage system and the jth energy storage system with the shortest space in the energy storage groupij；
Determining a limited time and a time-limited convergence gain according to the power dynamic response time requirement of the energy storage group;
determining a dispersion time-limited convergence device according to the determined communication elements, the limited time and the time-limited convergence gain;
embedding a dispersion time-limited convergence device in each energy storage system of the energy storage group, and estimating the average value of the charge state of the energy storage group through the dispersion time-limited convergence device;
the dispersion time-limited convergence device comprises:
Figure FDA0003536050100000011
wherein the content of the first and second substances,
Figure FDA0003536050100000012
is xi_ave(t) derivative of; x is the number ofi_ave(t) the average value of the charge states of the energy storage groups calculated by the ith energy storage system at the moment t; t is the time; t is a limited time; k is a time-limited convergence gain; a isijThe communication element between the ith energy storage system and the jth energy storage system is set; x is the number ofj_ave(t) the average value of the charge states of the energy storage groups calculated by the jth energy storage system at the moment t; x is the number ofi(t) is the actual value of the state of charge of the ith energy storage system at the moment t;
and distributing the total power of the energy storage groups by adopting a nonlinear distributor according to the average value of the charge states of the energy storage groups to obtain a power instruction value of each energy storage system.
2. The method as claimed in claim 1, wherein the limited time T is less than 20ms, and the time-limited convergence gain k is less than or equal to 5.
3. The method for distributing power of energy storage groups according to claim 1, wherein a is when communication can be performed between the ith energy storage system and the jth energy storage system which are closest to each other in the energy storage groups in the air space distanceij1 is ═ 1; when the ith energy storage system and the jth energy storage system with the shortest space in the energy storage group can not communicate with each other, aij＝0。
4. The method according to claim 1, wherein the step of distributing the total power of the energy storage groups according to the average value of the states of charge of the energy storage groups to obtain the power command value of each energy storage system comprises:
acquiring a total power instruction of an energy storage group;
acquiring the capacity of each energy storage system;
setting a correction factor according to the weight requirement of power distribution;
determining a nonlinear distributor according to the average value of the states of charge of the energy storage groups, the obtained total power instruction, the capacity of each energy storage system and a set correction factor;
a nonlinear divider is embedded in each energy storage system of the energy storage group, and a power instruction value of each energy storage system is determined through the nonlinear divider.
5. The method according to claim 4, wherein the non-linear divider is:
Figure FDA0003536050100000021
wherein, Pi_ref(t) is a power instruction value of the ith energy storage system at the moment t; pref(t) is a total power instruction value of the energy storage group at the moment t; gamma is a correction factor; AH (advanced Shell preparation)iThe capacity of the ith energy storage system.
6. An energy storage group power distribution system for performing the energy storage group power distribution method according to any one of claims 1 to 5, comprising:
the system comprises a charge state determining module, a time limit converging device and a time limit control module, wherein the charge state determining module is used for determining the charge state average value of an energy storage group consisting of a plurality of energy storage systems by adopting the time limit converging device;
and the power instruction determining module is used for distributing the total power of the energy storage groups according to the average value of the states of charge of the energy storage groups by adopting a nonlinear distributor to obtain a power instruction value of each energy storage system.
7. A processing device comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are adapted to implement the steps corresponding to the energy storage group power distribution method of any of claims 1-5.
8. A computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, are configured to implement the steps corresponding to the energy storage group power allocation method according to any one of claims 1-5.
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