CN-121663603-B - Dynamic stability coordination control method considering battery life in wind-storage combined system

Abstract

The invention relates to the technical field of new energy power generation and intelligent energy storage control, in particular to a dynamic stability coordination control method considering the service life of a battery in a wind-storage combined system. The method comprises the steps of collecting real-time operation data of a wind-storage combined system, introducing a life loss quantification mechanism based on dynamic weighting of battery health states and environmental factors, calculating battery life loss weight, obtaining maximum charge and discharge power and minimum charge and discharge power of a battery through a dynamic power limiting strategy based on the battery life loss weight, constructing a multi-objective optimization function with switchable priorities based on the battery life loss weight and combining the real-time operation data, carrying out minimum solving, and outputting a battery charge and discharge power instruction. The technical problems that in a traditional MPC control method, the control target weight is fixed, the battery life state does not participate in control feedback, and the power constraint is fixed are solved.

Inventors

• YANG DA
• LI JINJUN
• WANG DONGSHENG
• Yuan Zaiji
• WU YIFU
• CAO YANG
• DI WEI
• LI HAITIAN
• LI HE
• DUAN JIANDONG

Assignees

• 国网内蒙古东部电力有限公司通辽供电公司
• 国家电网有限公司
• 哈尔滨工业大学
• 北京四方继保工程技术有限公司

Dates

Publication Date

20260508

Application Date

20260205

Claims (4)

1. 1. The dynamic stability coordination control method considering the service life of the battery in the wind-storage combined system is characterized by comprising the following steps of: s1, collecting real-time operation data of a wind-storage combined system, introducing a life loss quantification mechanism based on dynamic weighting of battery health states and environmental factors, generating a battery aging degree factor and a self-adaptive weight function based on the real-time operation data, introducing a life loss sensitivity adjustment factor, and calculating a battery life loss weight, wherein the specific formula is as follows: , Wherein, the Is that Battery life loss weight at time; Representation of A battery aging degree factor at a moment; Is that The equivalent charge and discharge cycle times of the battery at the moment; Nominal cycle times for battery manufacturers; is an adaptive weight function, expressed in Battery state of charge at time And the average temperature of the battery cluster Impact on life loss; is a life loss sensitivity adjustment factor; Obtaining the maximum charge-discharge power and the minimum charge-discharge power of the battery through a dynamic power limiting strategy based on the battery life loss weight, wherein the dynamic power limiting strategy specifically comprises the steps of introducing a power limiting sensitivity factor, generating a charge-discharge power limiting adjustment factor and dynamically adjusting the boundary of the charge-discharge power of the battery; S2, based on real-time operation data, quantifying frequency deviation and power deviation, carrying out weighted fusion on the square of the frequency deviation, the square of the power deviation and the battery life loss weight serving as a linear penalty term, constructing a multi-objective optimization function with switchable priorities, carrying out minimized solution, and outputting a battery charging and discharging power instruction.
2. 2. The method for dynamically stabilizing and coordinated control considering battery life in a wind-powered electricity storage system according to claim 1, wherein S1 specifically comprises: the power limiting sensitivity factor is obtained by introducing historical battery charge and discharge power, historical battery charge state and historical battery cluster average temperature in historical operation data and combining a least square method.
3. 3. The method for dynamically stabilizing and coordinated control considering battery life in a wind-powered electricity storage system according to claim 1, wherein S2 specifically comprises: and introducing dynamic weights of different optimization targets into the multi-target optimization function with switchable priorities, and dynamically adjusting the multi-target optimization function based on the frequency deviation.
4. 4. A method for dynamically stabilizing and coordinating control in a wind-powered electricity storage system in consideration of battery life according to claim 3, wherein S2 specifically comprises: In the process of carrying out minimum solving on the multi-objective optimization function of the switching priority, setting upper and lower limit constraint and change rate constraint on the battery charge and discharge power based on the maximum battery charge and discharge power and the minimum battery charge and discharge power in combination with the battery charge and discharge power in the real-time operation data.

Description

Dynamic stability coordination control method considering battery life in wind-storage combined system Technical Field The invention relates to the technical field of new energy power generation and intelligent energy storage control, in particular to a dynamic stability coordination control method considering the service life of a battery in a wind-storage combined system. Background With the continuous improvement of the large-scale wind power grid-connected proportion, the power fluctuation and the unpredictability of the wind power grid-connected proportion form a significant challenge for the frequency stability of the power grid. In order to improve the safety and the friendliness of wind power grid connection, a wind power storage combined system is widely researched and engineering application as an important frequency modulation and power smoothing technical scheme. The battery energy storage unit plays a role in buffering and supporting in wind power regulation, but the battery energy storage unit is frequent in charging and discharging and changeable in running conditions, so that the service life of the battery energy storage unit is extremely easy to be rapidly attenuated, and the economical efficiency and the running safety of the system are further influenced. Currently, the mainstream wind-storage coordination control strategy is mostly based on a model predictive control (Model Predictive Control, MPC) structure, and the frequency adjustment and power smoothing targets are achieved by constructing an optimization objective function and executing power adjustment. However, the existing MPC method has the following key defects that (1) the weight of a control target is fixed and cannot be adjusted along with working conditions, in the traditional MPC control, the weight coefficient of each objective function is a fixed value, state factors such as the aging degree of a battery, the deviation amplitude of a power grid frequency and the like are not considered, so that the response is unreasonable under special working conditions such as sudden frequency fluctuation or severe aging of the battery and the like, and the self-adaption is insufficient, and (2) the service life state of the battery is not participated in control feedback, the existing method mostly regards the battery as a static controllable unit, a service life sensing mechanism is not constructed, the actual influence of the service life state on a power execution boundary is not considered, and the high power command is still sent when the aging of the battery is serious, so that excessive loss is caused, and (3) the power constraint is fixed, the traditional constraint conditions such as the upper limit of the power and the lower limit of the charging and discharging speed are not statically set, and dynamic adjustment logic related to the service life of the battery is not introduced, so that the nonlinear attenuation characteristic of the battery is difficult to adapt. Accordingly, there is a need to provide a method for dynamically stabilizing coordinated control in a wind-powered electricity storage system that considers battery life. Disclosure of Invention The invention provides a dynamic stability coordination control method considering battery life in a wind-storage combined system, which aims to solve the technical problems that in the traditional MPC control method, the control target weight is fixed, the battery life state does not participate in control feedback, and the power constraint is fixed. The invention relates to a dynamic stability coordination control method considering the service life of a battery in a wind-storage combined system, which comprises the following steps: S1, collecting real-time operation data of a wind-storage combined system, introducing a life loss quantification mechanism based on dynamic weighting of battery health states and environmental factors, and calculating life loss weight of a battery; S2, based on the battery life loss weight and combining real-time operation data, constructing a multi-objective optimization function with switchable priorities, carrying out minimization and solving, and outputting a battery charge and discharge power instruction. Preferably, the S1 specifically includes: In the implementation process of a life loss quantification mechanism based on dynamic weighting of the battery health state and environmental factors, a battery aging degree factor and a self-adaptive weight function are generated based on real-time operation data, and a life loss sensitivity adjustment factor is introduced to calculate the life loss weight of the battery. Preferably, the S1 specifically includes: the adaptive weighting function is generated based on a battery state of charge and a battery cluster average temperature of the real-time operational data. Preferably, the S1 specifically includes: Based on the battery life loss weight, introducing a power limiting sensitivity fa