Energy storage battery power control method and system

Abstract

The present invention discloses a power control method for an energy storage battery, comprising: obtaining the remaining power, power adjustment instructions and output power of an energy storage battery pack in real time; obtaining a power control efficiency matrix according to the working state of the energy storage battery pack and the range of adjustable constraints; obtaining a power output weighting matrix according to the remaining power of the energy storage battery pack; establishing a target optimization function according to the power control efficiency matrix and the power output weighting matrix; solving the target optimization function to obtain a power output control instruction to achieve optimal control of the power of the energy storage battery pack. The present invention fully considers the remaining power and the current working state of the energy storage battery pack, avoids frequent switching of the charge and discharge states of the energy storage battery pack, and improves the service life of the energy storage battery pack.

Description

Technical Field

[0001] The present invention belongs to the technical field of power distribution control of energy storage battery packs, and in particular relates to a power control method and system for energy storage batteries. Background Art

[0002] As global warming becomes increasingly important, my country is vigorously promoting the development of microgrid systems that integrate power generation, grid generation, load storage, and multi-energy complementarity. Renewable energy sources such as wind power and photovoltaics have drawbacks such as randomness and intermittency. Microgrid systems, equipped with energy storage devices that match wind and photovoltaic capacity, can effectively increase the utilization rate of renewable energy, improving system cost-effectiveness and stability.

[0003] Chemical energy storage devices such as lead-acid batteries, nickel-metal hydride batteries, and lithium batteries all have the problem of limited cycle times during use. Frequent switching of charge and discharge states or deep discharge will reduce the service life of the energy storage battery pack. Summary of the Invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a power control method for an energy storage battery, which can extend the service life of an energy storage battery pack.

[0005] The technical problem to be solved by the present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a method for controlling power of an energy storage battery, comprising:

[0007] Real-time acquisition of remaining capacity, power regulation instructions, and output power of energy storage battery packs;

[0008] The power control efficiency matrix is obtained according to the working state of the energy storage battery group and the adjustable constraint range;

[0009] Obtain a power output weighted matrix according to the remaining power of the energy storage battery pack;

[0010] Establishing a target optimization function according to a power control efficiency matrix and a power output weighting matrix;

[0011] Solving the target optimization function to obtain the power output control instruction can realize the optimal control of the energy storage battery pack power.

[0012] In combination with the first aspect, further, the adjustable constraint range of the energy storage battery pack is:

[0013] in, is the lower limit of the output power of the energy storage battery pack, is the upper limit of the output power of the energy storage battery pack, is the lower limit of the output power of the i-th energy storage battery group, is the upper limit of the output power of the i-th energy storage battery group, and n is the total number of energy storage battery groups.

[0014] In combination with the first aspect, further, the power control efficiency matrix is expressed as:

[0015] B=[b1 … b i … b n ] (1)

[0016] Among them, b i is the power control efficiency of the i-th energy storage battery pack. When the energy storage battery pack is in working state, controllable and can participate in power regulation within the constraints, then b i Set to 1, otherwise b i Set to 0.

[0017] In combination with the first aspect, further, obtaining the power output weighted matrix according to the remaining power of the energy storage battery pack includes:

[0018] Assume the power output weighting matrix is W,

[0019]

[0020] Among them, w i,i is the weighted value of the output power of the i-th energy storage battery pack; w i,i =w i,p w i,SOC , w i,p is the charge and discharge priority evaluation factor of the i-th energy storage battery pack, w i,SOC is the priority evaluation factor of the remaining power of the i-th energy storage battery group.

[0021] In combination with the first aspect, further, establishing the target optimization function includes: establishing a target optimization function as shown in formula (3):

[0022]

[0023] Among them, V is the power regulation instruction of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1 and η2 are matrix coefficients, and u is the power output control instruction of the energy storage battery pack. is a vector of absolute values of all elements in u, is the lower limit of the output power of the energy storage battery pack, The output power limit of the energy storage battery pack.

[0024] In a second aspect, an energy storage battery power control system is provided, comprising:

[0025] Data acquisition module, used to obtain the remaining power of the energy storage battery pack, power adjustment instructions and output power in real time;

[0026] A power control efficiency matrix establishment module is used to obtain the power control efficiency matrix according to the working state of the energy storage battery group and the range of the adjustable constraint bar;

[0027] A power output weighted matrix establishment module is used to obtain a power output weighted matrix according to the remaining power of the energy storage battery group and the adjustment priority;

[0028] A target optimization function establishment module, used for establishing a target optimization function according to a power control efficiency matrix and a power output weighting matrix;

[0029] The power control module is used to solve the target optimization function to obtain the power output control instruction to achieve optimal control of the energy storage battery pack power.

[0030] In conjunction with the second aspect, further, the operations performed by the power control efficiency matrix establishment module include:

[0031] According to formula (1), the power control efficiency matrix is established

[0032] B=[b1 … b i … b n ] (1)

[0033] Among them, b i is the power control efficiency of the i-th energy storage battery pack. When the energy storage battery pack is in working state, controllable and can participate in power regulation within the constraints, then b i Set to 1, otherwise b i Set to 0.

[0034] In conjunction with the second aspect, further, the operations performed by the power output weighting matrix establishment module include:

[0035] Assume the power output weighting matrix is W,

[0036]

[0037] Among them, w i,i is the weighted value of the output power of the i-th energy storage battery pack; w i,i =w i,p w i,SOC , w i,p is the charge and discharge priority evaluation factor of the i-th energy storage battery pack, w i,SOC is the priority evaluation factor of the remaining power of the i-th energy storage battery group.

[0038] In conjunction with the second aspect, further, the operations performed by the target optimization function establishment module include:

[0039] Establish the target optimization function as shown in formula (3):

[0040]

[0041] Among them, V is the power regulation instruction of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1 and η2 are matrix coefficients, and u is the power output control instruction of the energy storage battery pack. is a vector of absolute values of all elements in u, is the lower limit of the output power of the energy storage battery pack, The output power limit of the energy storage battery pack.

[0042] Beneficial effects of the present invention: The present invention fully considers the remaining power and current working status of the energy storage battery pack, avoids frequent switching of the charge and discharge states of the energy storage battery pack, and improves the service life of the energy storage battery pack;

[0043] The control method of the present invention can meet the power distribution requirements of a microgrid system equipped with multiple energy storage devices and has strong applicability;

[0044] The control method of the present invention fully considers the constraints of the energy storage device and can meet the power regulation and protection requirements of the energy storage device. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the energy storage battery power control method in the present invention. DETAILED DESCRIPTION

[0046] In order to further illustrate the technical features and effects of the present invention, the present invention is further described below with reference to the accompanying drawings and specific implementation methods.

[0047] Example 1

[0048] like Figure 1 As shown, the present invention provides a method for controlling power of an energy storage battery, comprising the following steps:

[0049] Step 1: Obtain the remaining power, power adjustment instructions and output power of the energy storage battery pack in real time;

[0050] Obtain the remaining capacity (SOC, State of charge), power adjustment instruction V and output power P of all energy storage battery packs at the current moment to judge the power change trend of the energy storage battery pack and check the remaining capacity of the energy storage battery pack.

[0051] Step 2: Obtain a power control efficiency matrix based on the working state of the energy storage battery pack and the range of adjustable constraints;

[0052] The established power control efficiency matrix B is shown below:

[0053] B=[b1 … b i … b n] (1)

[0054] Among them, b i is the power control efficiency of the i-th energy storage battery pack. When the energy storage battery pack is in working state, controllable and can participate in power regulation within the constraints, then b i Set to 1, otherwise b i Set to 0.

[0055] The constraint range here is the power adjustable range of the energy storage battery pack.

[0056] The adjustable constraint range of n energy storage battery packs can be expressed as

[0057]

[0058]

[0059] is the lower limit of the output power of the energy storage battery pack, is the upper limit of the output power of the energy storage battery pack, is the lower limit of the output power of the i-th energy storage battery group, is the upper limit of the output power of the i-th energy storage battery group.

[0060] Step 3: Obtain a power output weighted matrix based on the remaining power of the energy storage battery pack;

[0061] The weighting matrix W is shown in the following formula (2):

[0062]

[0063] W is a diagonal matrix, w i,i is the output power weighted value set according to the remaining power of the i-th energy storage battery group and the charge and discharge power adjustment priority, w i,i =w i,p w i,SOC , where w i,p is the charge and discharge priority evaluation factor of the i-th energy storage battery pack, w i,soc is the priority evaluation factor of the remaining power of the i-th energy storage battery group.

[0064]

[0065] Among them, SOC i is the remaining capacity of the i-th energy storage battery pack, is the upper limit of charging capacity of the i-th energy storage battery pack, is the lower limit of discharge capacity of the i-th energy storage battery pack, E i,dichar is the free discharge margin of the i-th energy storage battery pack, E i,charis the free charge margin of the i-th energy storage battery pack, if w i,soc >1, then take w i,soc =1,w i,soc <0, then take w i,soc =0.

[0066]

[0067] Among them, P i is the output power of the i-th energy storage battery pack, w i,p >1 w i,p =1,w i,p <0 then w i,p =0, P is the output power of all energy storage battery groups, and V is the power adjustment instruction of the energy storage battery (the power that needs to be adjusted).

[0068] Step 4: Establish the target optimization function based on the power control efficiency matrix and the power output weighting matrix.

[0069] The established target optimization function is shown in formula (5):

[0070]

[0071]

[0072] u=(u1 … u i … u n ) T

[0073]

[0074] Among them, η1 and η2 are matrix coefficients. The proportional relationship between these two matrix coefficients can be adjusted according to the power regulation accuracy requirements of the energy storage battery pack. When the power regulation accuracy is higher, the ratio of η1 / η2 is larger. Under normal circumstances, η1 / η2 should be greater than 10:1; u is the power output control instruction of the energy storage battery pack, is a vector of absolute values of all elements in u, is the lower limit of the output power of the energy storage battery pack, is the upper limit of the output power of the energy storage battery pack, u i is the power output control instruction of the i-th energy storage battery pack.

[0075] Step 5: Solve the target optimization function to obtain the power output control instruction to achieve optimal control of the energy storage battery pack power.

[0076] Constrained by the output power of the energy storage battery pack To initialize the search range of the swarm intelligence algorithm, the pigeon flock algorithm is used here to solve the target optimization function J and obtain the optimal solution that meets the constraints as the power output control instruction u of each energy storage battery group. The pigeon flock algorithm has the characteristics of simple implementation and fast algorithm convergence, which can meet the needs of real-time power allocation.

[0077] After all energy storage battery packs have completed executing the command action, return to step 1.

[0078] Based on the above, the present invention takes into account the output power constraint conditions of the energy storage battery pack, and at the same time establishes a weighted matrix according to the remaining power of the energy storage battery pack and the power regulation priority, and establishes a constraint relationship between the output power and the remaining power of the energy storage battery pack. This allows the energy storage battery pack to fully consider the remaining power constraint of the energy storage battery pack within the allowable power output range, avoids the energy storage battery pack from frequently switching between charging and discharging states, and improves the service life of the energy storage battery pack.

[0079] Example 2

[0080] The present invention also provides an energy storage battery power control system, comprising:

[0081] Data acquisition module, used to obtain the remaining power of the energy storage battery pack, power adjustment instructions and output power in real time;

[0082] A power control efficiency matrix establishment module is used to obtain the power control efficiency matrix according to the working state of the energy storage battery group and the range of the adjustable constraint bar;

[0083] A power output weighted matrix establishment module is used to obtain a power output weighted matrix according to the remaining power of the energy storage battery group and the adjustment priority;

[0084] A target optimization function establishment module, used for establishing a target optimization function according to a power control efficiency matrix and a power output weighting matrix;

[0085] The power control module is used to solve the target optimization function to obtain the power output control instruction to achieve optimal control of the energy storage battery pack power.

[0086] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0087] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for controlling power of an energy storage battery, characterized in that: include: Real-time acquisition of remaining capacity, power regulation instructions, and output power of energy storage battery packs; The power control efficiency matrix is obtained according to the working state of the energy storage battery group and the adjustable constraint range; Obtain a power output weighted matrix according to the remaining power of the energy storage battery pack; Establishing a target optimization function according to a power control efficiency matrix and a power output weighting matrix; Solve the target optimization function to obtain the power output control instruction to achieve optimal control of the energy storage battery pack power; The establishing of the target optimization function includes establishing the target optimization function as shown in formula (3): Among them, V is the power regulation instruction of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1 and η2 are matrix coefficients, and u is the power output control instruction of the energy storage battery pack. is the vector of the absolute values of all elements in u, U is the lower limit of the output power of the energy storage battery pack, The output power limit of the energy storage battery pack.

2. The energy storage battery power control method according to claim 1, characterized in that: The adjustable constraint range of the energy storage battery pack is: Among them, U=(u1…u i …u n ) T , U is the lower limit of the output power of the energy storage battery pack, is the upper limit of the output power of the energy storage battery pack, u i is the lower limit of the output power of the i-th energy storage battery group, is the upper limit of the output power of the i-th energy storage battery group, and n is the total number of energy storage battery groups.

3. The energy storage battery power control method according to claim 1, characterized in that: The power control efficiency matrix is expressed as: B=[b1 … b i …b n ] (1) Among them, b i is the power control efficiency of the i-th energy storage battery pack. When the energy storage battery pack is in working state, controllable and can participate in power regulation within the constraints, then b i Set to 1, otherwise b i Set to 0.

4. The energy storage battery power control method according to claim 1, characterized in that: The power output weighting matrix obtained according to the remaining power of the energy storage battery pack includes: Assume the power output weighting matrix is W, Among them, w i,i is the weighted value of the output power of the i-th energy storage battery pack; w i,i =w i,p w i,SOC , w i,p is the charge and discharge priority evaluation factor of the i-th energy storage battery pack, w i,SOC is the priority evaluation factor of the remaining power of the i-th energy storage battery group.

5. A power control system for an energy storage battery, characterized in that: include: Data acquisition module, used to obtain the remaining power of the energy storage battery pack, power adjustment instructions and output power in real time; A power control efficiency matrix establishment module is used to obtain the power control efficiency matrix according to the working state of the energy storage battery group and the range of the adjustable constraint bar; A power output weighted matrix establishment module is used to obtain a power output weighted matrix according to the remaining power of the energy storage battery group and the adjustment priority; A target optimization function establishment module, used for establishing a target optimization function according to a power control efficiency matrix and a power output weighting matrix; The power control module is used to solve the target optimization function to obtain the power output control instruction to achieve optimal control of the energy storage battery pack power; The establishing of the target optimization function includes establishing the target optimization function as shown in formula (3): Among them, V is the power regulation instruction of the energy storage battery pack, B is the power control efficiency matrix, W is the power output weighting matrix, η1 and η2 are matrix coefficients, and u is the power output control instruction of the energy storage battery pack. is the vector of the absolute values of all elements in u, U is the lower limit of the output power of the energy storage battery pack, The output power limit of the energy storage battery pack.

6. The energy storage battery power control system according to claim 5, characterized in that: The operations performed by the power control efficiency matrix establishment module include: According to formula (1), the power control efficiency matrix is established B=[b1…b i …b n ](1) Among them, b i is the power control efficiency of the i-th energy storage battery pack. When the energy storage battery pack is in working state, controllable and can participate in power regulation within the constraints, then b i Set to 1, otherwise b i Set to 0.

7. The energy storage battery power control system according to claim 5, characterized in that: The operations performed by the power output weighting matrix establishment module include: Assume the power output weighting matrix is W, Among them, w i,i is the weighted value of the output power of the i-th energy storage battery pack; w i,i =w i,p w i,SOC , w i,p is the charge and discharge priority evaluation factor of the i-th energy storage battery pack, w i,SOC is the priority evaluation factor of the remaining power of the i-th energy storage battery group.

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