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Battery energy storage system dynamic optimization method and device, electronic equipment and storage medium

A battery energy storage system and dynamic optimization technology, applied in design optimization/simulation, data processing applications, instruments, etc., can solve problems such as complex uncertainty modeling, large state space, and difficult solutions, and improve auxiliary services The ability to improve operating efficiency and reduce the solution space

Pending Publication Date: 2022-07-01
ELECTRIC POWER RES INST OF STATE GRID ANHUI ELECTRIC POWER +1
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AI Technical Summary

Problems solved by technology

The structure of the actor-critic algorithm is used to guide the charging and discharging behavior of the energy storage system. However, the traditional actor-critic method has problems such as complex modeling of uncertainty, poor convergence, and difficulty in solving problems due to too large state space. For practical technical applications caused by defects

Method used

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  • Battery energy storage system dynamic optimization method and device, electronic equipment and storage medium
  • Battery energy storage system dynamic optimization method and device, electronic equipment and storage medium
  • Battery energy storage system dynamic optimization method and device, electronic equipment and storage medium

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Embodiment Construction

[0080] A method, device, electronic device, and storage medium for dynamic optimization of a battery energy storage system proposed by the embodiments of the present invention are further described in detail below with reference to the accompanying drawings and specific embodiments.

[0081] The embodiment of the first aspect of the present invention proposes a dynamic optimization method for a battery energy storage system. The overall process is as follows figure 1 shown, including the following steps:

[0082] 1) Establish a battery energy storage system optimization model, which consists of objective functions and constraints; the specific steps are as follows:

[0083] 1-1) Establish the objective function of the battery energy storage system optimization model, the expression is as follows:

[0084]

[0085] Among them, t is the time decision variable, s t is the state at time t, a t is the action at time t, R(s t+i ,a t+i ) is in state s t+i take action a t+i ...

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Abstract

The invention provides a dynamic optimization method and device for a battery energy storage system, electronic equipment and a storage medium, and belongs to the technical field of power system operation and control. The method comprises the steps that the energy state of the battery energy storage system, the interaction power between a power grid where the battery energy storage system is located and a large power grid, the electricity price and the set interaction power between the power grid where the battery energy storage system is located and the large power grid form state variables, the active power of each node generator and the charging power and the discharging power of the battery energy storage system form action variables, and a battery energy storage system optimization model is established; constructing a reward function about the state variable and the action variable; and solving the optimization model to obtain the action variable at each moment, namely the optimization result of the battery energy storage system. The method is high in operation speed, can achieve the real-time optimization of the energy storage of the battery, improves the capability of a power grid for providing auxiliary services, and improves the operation efficiency of the power grid.

Description

Technical field [0001] The invention belongs to the technical field of power system operation and control, and in particular relates to a dynamic optimization method, device, electronic equipment and storage medium for a battery energy storage system. Background technique [0002] As the number of electric vehicles continues to increase, electric vehicles will be widely connected to the power grid in the future. The charging and discharging behavior of electric vehicles will have a non-negligible impact on the power grid, which is both a challenge and an opportunity. The service life of electric vehicle batteries is closely related to charge and discharge power. Unreasonable charge and discharge power will shorten the service life of the battery and increase the safety risk of battery fire. Due to the rapid increase in the number of electric vehicles, large-scale electric vehicles will have an impact on the power grid after being connected to the power grid, leading to a se...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32G06F30/27G06Q10/06G06Q50/06G06F111/04
CPCH02J3/32H02J3/322G06F30/27G06Q10/06313G06Q50/06H02J2203/20G06F2111/04
Inventor 徐斌王小明李智李端超高博李金中胡昊王龙刘昊天吴文传
Owner ELECTRIC POWER RES INST OF STATE GRID ANHUI ELECTRIC POWER
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