CN114447963A - Energy storage battery power control method and system - Google Patents

Energy storage battery power control method and system Download PDF

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Publication number
CN114447963A
CN114447963A CN202111586877.XA CN202111586877A CN114447963A CN 114447963 A CN114447963 A CN 114447963A CN 202111586877 A CN202111586877 A CN 202111586877A CN 114447963 A CN114447963 A CN 114447963A
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energy storage
storage battery
power
battery pack
output
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Inventor
郭梦旭
刘双
王伟
成月良
董雪
刘成林
连峰
张震
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NARI Nanjing Control System Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
    • H02J7/00036—Charger exchanging data with battery
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/00306—Overdischarge protection
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a power control method of an energy storage battery, which comprises the following steps: acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time; obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip; obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack; establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix; the method and the device solve the objective optimization function to obtain the power output control instruction to realize the optimal control of the power of the energy storage battery pack, fully consider the residual electric quantity and the current working state of the energy storage battery pack, avoid the frequent switching of the charging and discharging states of the energy storage battery pack, and prolong the service life of the energy storage battery pack.

Description

Energy storage battery power control method and system
Technical Field
The invention belongs to the technical field of energy storage battery pack power distribution control, and particularly relates to an energy storage battery power control method and system.
Background
With the increasing importance of global warming in various countries in the world, China is vigorously promoting the development of a micro-grid system with source-grid load-storage integration and multi-energy complementation. Renewable energy sources such as wind power and photovoltaic have the defects of randomness, intermittence and the like. The microgrid system can effectively improve the utilization rate of new energy and improve the economy and stability of the system by configuring an energy storage device matched with the wind power and photovoltaic capacities.
Chemical energy storage devices such as lead-acid batteries, nickel-metal hydride batteries, lithium batteries and the like have the problem of limited cycle times in the use process, and the service life of an energy storage battery pack can be shortened due to frequent switching of charge and discharge states or deep discharge.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a power control method of an energy storage battery, which can prolong the service life of an energy storage battery pack.
The technical problem to be solved by the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a power control method for an energy storage battery, including:
acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time;
obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip;
obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack;
establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix;
and solving the target optimization function to obtain a power output control instruction so as to realize the optimal control of the power of the energy storage battery pack.
With reference to the first aspect, further, the adjustable constraint range of the energy storage battery pack is as follows:
Figure BDA0003427862350000011
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003427862350000012
Figure BDA0003427862350000013
for the lower limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000014
is the upper limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000015
the lower limit of the output power of the ith energy storage battery pack,
Figure BDA0003427862350000016
and the output power upper limit of the ith energy storage battery pack is defined, and n is the total number of the energy storage battery packs.
With reference to the first aspect, further, the power control efficiency matrix is represented as:
B＝[b1 … bi … bn] (1)
wherein, biFor the power control efficiency of the ith energy storage battery pack, b when the energy storage battery pack is in a working state, is controllable and can participate in power regulation within the range of constraint conditionsiSet to 1, otherwise biIs set to 0.
With reference to the first aspect, further, the obtaining a power output weighting matrix according to the remaining capacity of the energy storage battery pack includes:
let the power output weighting matrix be W,
Figure BDA0003427862350000021
wherein, wi,iThe weighted value of the output power of the ith energy storage battery pack is obtained; w is ai,i＝wi,pwi,SOC，wi,pEvaluating factor, w, for charging and discharging priority of ith energy storage battery packi,SOCAnd evaluating factors for the residual electric quantity priority of the ith energy storage battery pack.
With reference to the first aspect, further, the establishing an objective optimization function includes: establishing an objective optimization function as shown in formula (3):
Figure BDA0003427862350000022
where V is the power regulation command of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1、η2Is a matrix coefficient, u is a power output control command of the energy storage battery pack,
Figure BDA0003427862350000023
a vector taking the absolute value of all elements in u,
Figure BDA0003427862350000024
for the lower limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000025
and outputting the upper limit of the power for the energy storage battery pack.
In a second aspect, there is provided an energy storage battery power control system comprising:
the data acquisition module is used for acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time;
the power control efficiency matrix establishing module is used for obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip;
the power output weighting matrix establishing module is used for obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack and the regulation priority;
the target optimization function establishing module is used for establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix;
and the power control module is used for solving the target optimization function to obtain a power output control instruction so as to realize the optimal control of the power of the energy storage battery pack.
With reference to the second aspect, further, the power control efficiency matrix establishing module performs operations including:
establishing a power control efficiency matrix according to equation (1)
B＝[b1 … bi … bn] (1)
Wherein, biFor the power control efficiency of the ith energy storage battery pack, b is carried out when the energy storage battery pack is in a working state, is controllable and can participate in power regulation within the range of constraint conditionsiSet to 1, otherwise biIs set to 0.
With reference to the second aspect, further, the power output weighting matrix establishing module performs operations including:
let the power output weighting matrix be W,
Figure BDA0003427862350000031
wherein wi,iThe weighted value of the output power of the ith energy storage battery pack is obtained; w is ai,i＝wi,pwi,SOC，wi,pEvaluating factor, w, for charging and discharging priority of ith energy storage battery packi,SOCAnd evaluating a factor for the residual electric quantity priority of the ith energy storage battery pack.
With reference to the second aspect, further, the objective optimization function establishing module performs operations including:
establishing an objective optimization function as shown in formula (3):
Figure BDA0003427862350000032
where V is the power regulation command of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1、η2As matrix coefficients, u is the energy storage battery power output controlThe instructions that, when executed, cause the apparatus to,
Figure BDA0003427862350000033
a vector of absolute values is taken for all elements in u,
Figure BDA0003427862350000034
for the lower limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000035
and outputting the upper limit of the power for the energy storage battery pack.
The invention has the beneficial effects that: according to the invention, the residual electric quantity and the current working state of the energy storage battery pack are fully considered, the frequent switching of the charging and discharging states of the energy storage battery pack is avoided, and the service life of the energy storage battery pack is prolonged;
the control method can meet the power distribution requirement of the microgrid system with a plurality of energy storage devices, and has strong applicability;
the control method of the invention fully considers the constraint condition of the energy storage device and can meet the power regulation protection requirement of the energy storage device.
Drawings
Fig. 1 is a flow chart of a power control method of an energy storage battery according to the present invention.
Detailed Description
To further describe the technical features and effects of the present invention, the present invention will be further described with reference to the accompanying drawings and detailed description.
Example 1
As shown in fig. 1, the present invention provides a power control method for an energy storage battery, including the following steps:
acquiring residual electric quantity, a power regulation instruction and output power of an energy storage battery pack in real time;
and acquiring the residual electric quantity (SOC) of all the energy storage battery packs at the current moment, the power regulation instruction V and the output power P for judging the power change trend of the energy storage battery packs and checking the residual electric quantity of the energy storage battery packs.
Step two, obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the adjustable constraint condition range;
the established power control efficiency matrix B is as follows,
B＝[b1 … bi … bn] (1)
wherein, biFor the power control efficiency of the ith energy storage battery pack, b when the energy storage battery pack is in a working state, is controllable and can participate in power regulation within the range of constraint conditionsiSet to 1, otherwise biIs set to 0.
The constraint condition range is the power adjustable range of the energy storage battery pack.
The adjustable constraint range of n energy storage battery packs can be expressed as
Figure BDA0003427862350000041
Figure BDA0003427862350000042
Figure BDA0003427862350000043
Figure BDA0003427862350000044
For the lower limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000045
is the upper limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000046
the lower limit of the output power of the ith energy storage battery pack,
Figure BDA0003427862350000047
and outputting the upper limit of the power for the ith group of energy storage battery pack.
Thirdly, obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack;
the weighting matrix W is represented by the following formula (2)
Figure BDA0003427862350000048
W is a diagonal matrix, Wi,iThe output power weighted value, w, set by the priority is adjusted according to the residual electric quantity and the charge-discharge power of the ith energy storage battery packi,i＝wi,pwi,SOCWherein w isi,pEvaluating factor, w, for charging and discharging priority of ith energy storage battery packi,socAnd evaluating a factor for the residual capacity priority of the ith energy storage battery pack.
Figure BDA0003427862350000049
Therein, SOCiFor the residual capacity of the ith energy storage battery pack,
Figure BDA00034278623500000410
charging the upper limit of the electric quantity for the ith energy storage battery pack,
Figure BDA00034278623500000411
lower limit of discharge capacity for ith energy storage battery pack, Ei,dicharFree discharge margin for ith energy storage battery pack, Ei,charFree charge allowance for ith energy storage battery pack if wi,socIf more than 1, take wi,soc＝1，wi,socIf < 0, take wi,soc＝0。
Figure BDA0003427862350000051
Wherein, PiFor the ith energy-storage battery pack output power, wi,pW > 1i,p＝1，wi,pW is < 0i,pP is the output power of all energy storage battery packs, and V is the power regulation command (power required to be regulated) of the energy storage battery.
And step four, establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix.
The established target optimization function is shown as the formula (5):
Figure BDA0003427862350000052
Figure BDA0003427862350000053
u＝(u1 … ui … un)T
Figure BDA0003427862350000054
wherein eta is1、η2The proportional relation of the two matrix coefficients can be adjusted according to the requirement of the power regulation precision of the energy storage battery pack, wherein eta is higher when the required power regulation precision is higher1/η2The larger the ratio, the more common is η1/η2Should be greater than 10: 1; u is a power output control command of the energy storage battery pack,
Figure BDA0003427862350000055
a vector taking the absolute value of all elements in u,
Figure BDA0003427862350000056
for the lower limit of the output power of the energy storage battery pack,
Figure BDA0003427862350000057
for the upper limit of the output power of the energy storage battery pack, uiAnd outputting a control command for the power of the ith energy storage battery pack.
And step five, solving the objective optimization function to obtain a power output control instruction to realize the optimal control of the power of the energy storage battery pack.
Output power constraint with energy storage battery pack
Figure BDA0003427862350000058
For the search range initialization of the group intelligent algorithm, the pigeon group algorithm is used for solving the target optimization function J to obtain the optimal solution meeting the constraint condition as the power output control instruction u of each energy storage battery pack, and the pigeon group algorithm has the characteristics of simplicity in implementation, fast algorithm convergence and the like and can meet the requirement of power real-time distribution.
And returning to the first step after finishing the command execution actions of all the energy storage battery packs.
Based on the above, the output power constraint condition of the energy storage battery pack is considered, meanwhile, the weighting matrix is set according to the residual electric quantity and the power regulation priority of the energy storage battery pack, and the constraint relation between the output power and the residual electric quantity of the energy storage battery pack is established, so that the residual electric quantity constraint of the energy storage battery pack can be fully considered in the power output allowable range of the energy storage battery pack, the frequent switching between the charging state and the discharging state of the energy storage battery pack is avoided, and the service life of the energy storage battery pack is prolonged.
Example 2
The invention also provides an energy storage battery power control system, which comprises:
the data acquisition module is used for acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time;
the power control efficiency matrix establishing module is used for obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip;
the power output weighting matrix establishing module is used for obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack and the regulation priority;
the target optimization function establishing module is used for establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix;
and the power control module is used for solving the target optimization function to obtain a power output control instruction so as to realize the optimal control of the power of the energy storage battery pack.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (9)

1. A method for controlling power of an energy storage battery, comprising:
acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time;
obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip;
obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack;
establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix;
and solving the target optimization function to obtain a power output control instruction so as to realize the optimal control of the power of the energy storage battery pack.
2. The method for controlling the power of the energy storage battery according to claim 1, wherein the adjustable constraint range of the energy storage battery pack is as follows:
Figure FDA0003427862340000011
wherein the content of the first and second substances,U＝(u 1 … u i … u n)T，
Figure FDA0003427862340000012
Ufor the lower limit of the output power of the energy storage battery pack,
Figure FDA0003427862340000013
is the upper limit of the output power of the energy storage battery pack,u istoring energy for the ith groupThe lower limit of the output power of the battery pack,
Figure FDA0003427862340000014
and the output power of the ith energy storage battery pack is the upper limit, and n is the total number of the energy storage battery packs.
3. The method of claim 1, wherein the power control efficiency matrix is expressed as:
B＝[b1 … bi … bn] (1)
wherein, biFor the power control efficiency of the ith energy storage battery pack, b when the energy storage battery pack is in a working state, is controllable and can participate in power regulation within the range of constraint conditionsiSet to 1, otherwise biIs set to 0.
4. The method according to claim 1, wherein the obtaining a power output weighting matrix according to the remaining capacity of the energy storage battery pack comprises:
let the power output weighting matrix be W,
Figure FDA0003427862340000015
wherein, wi,iThe weighted value of the output power of the ith energy storage battery pack is obtained; w is ai,i＝wi,pwi,SOC，wi,pEvaluating factor, w, for charging and discharging priority of ith energy storage battery packi,SOCAnd evaluating a factor for the residual electric quantity priority of the ith energy storage battery pack.
5. The method of claim 1, wherein the establishing an objective optimization function comprises: establishing an objective optimization function as shown in formula (3):
Figure FDA0003427862340000021
where V is the power regulation command of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1、η2Is a matrix coefficient, u is a power output control command of the energy storage battery pack,
Figure FDA0003427862340000022
a vector of absolute values is taken for all elements in u,Ufor the lower limit of the output power of the energy storage battery pack,
Figure FDA0003427862340000023
and outputting the upper limit of the power for the energy storage battery pack.
6. An energy storage battery power control system, comprising:
the data acquisition module is used for acquiring the residual electric quantity of the energy storage battery pack, a power regulation instruction and output power in real time;
the power control efficiency matrix establishing module is used for obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of the adjustable constraint strip;
the power output weighting matrix establishing module is used for obtaining a power output weighting matrix according to the residual electric quantity of the energy storage battery pack and the regulation priority;
the target optimization function establishing module is used for establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix;
and the power control module is used for solving the target optimization function to obtain a power output control instruction so as to realize the optimal control of the power of the energy storage battery pack.
7. The energy storage battery power control system of claim 6, wherein the power control efficiency matrix building module performs operations comprising:
establishing a power control efficiency matrix according to equation (1)
B＝[b1 … bi … bn] (1)
Wherein, biFor the power control efficiency of the ith energy storage battery pack, b when the energy storage battery pack is in a working state, is controllable and can participate in power regulation within the range of constraint conditionsiSet to 1, otherwise biIs set to 0.
8. The energy storage battery power control system of claim 6, wherein the power output weighting matrix establishing module performs operations comprising:
let the power output weighting matrix be W,
Figure FDA0003427862340000024
wherein, wi,iThe weighted value of the output power of the ith energy storage battery pack is obtained; w is ai,i＝wi,pwi,SOC，wi,pEvaluating factor, w, for charging and discharging priority of ith energy storage battery packi,SOCAnd evaluating factors for the residual electric quantity priority of the ith energy storage battery pack.
9. The system according to claim 6, wherein the objective optimization function establishing module performs the operations comprising:
establishing an objective optimization function as shown in formula (3):
Figure FDA0003427862340000031
where V is the power regulation command of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1、η2Is a matrix coefficient, u is a power output control command of the energy storage battery pack,
Figure FDA0003427862340000032
taking the absolute value of all elements in uThe vector of the vector is then calculated,Ufor the lower limit of the output power of the energy storage battery pack,
Figure FDA0003427862340000033
and outputting the upper limit of the power for the energy storage battery pack.
CN202111586877.XA 2021-12-23 2021-12-23 Energy storage battery power control method and system Pending CN114447963A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116995787A (en) * 2023-09-27 2023-11-03 深圳市旭锦科技有限公司 Active equalization type safety management method and system for distributed BMS battery

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116995787A (en) * 2023-09-27 2023-11-03 深圳市旭锦科技有限公司 Active equalization type safety management method and system for distributed BMS battery
CN116995787B (en) * 2023-09-27 2024-01-16 深圳市旭锦科技有限公司 Active equalization type safety management method and system for distributed BMS battery

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