Flywheel Energy Storage Assisted Secondary Frequency Regulation Control Strategy Based on WOA-VMD Algorithm

WANG Wei; ZHAO Junjie; GAO Song; FANG Fang

doi:10.19805/j.cnki.jcspe.2025.240307

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Flywheel Energy Storage Assisted Secondary Frequency Regulation Control Strategy Based on WOA-VMD Algorithm

更新时间：2026-10-10

- Flywheel Energy Storage Assisted Secondary Frequency Regulation Control Strategy Based on WOA-VMD Algorithm
- Chinese Journal of Power Engineering Vol. 45, Issue 7, Pages: 1052-1062(2025)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院,北京,102206
  2. 国网山东省电力公司电力科学研究院,山东,济南,250003
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.240307
  CLC：
- Online First：14 July 2025，
  
  Published：2025
- 稿件说明：
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王玮,赵俊杰,高嵩,房方. 基于改进变分模态分解的飞轮储能辅助火电二次调频控制策略动力工程学报, 2025, 45(7): 1052-1062 https://doi.

org/10.19805/j.cnki.jcspe.2025.240307
王玮,赵俊杰,高嵩,房方. 基于改进变分模态分解的飞轮储能辅助火电二次调频控制策略动力工程学报, 2025, 45(7): 1052-1062 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240307.

org/10.19805/j.cnki.jcspe.2025.240307 DOI：

摘要

飞轮储能辅助调频是改善火电机组调频性能和运行稳定性的有效方案之一。为提升飞轮储能参与二次调频的综合性能

提出了一种基于变模态分解改进鲸群优化算法的飞轮辅助火电机组二次调频协同控制策略。首先

基于飞轮储能单元机侧和网侧控制机理

建立了适配1 000 MW超超临界火电机组的飞轮储能阵列控制系统模型

以及飞轮储能系统与超超临界机组协同控制的二次调频模型;其次

提出了基于鲸群优化算法的改进变模态分解方法

实现了火电机组和飞轮系统响应自动发电控制(AGC)指令的优化分配;最后

针对分配结果设计了一种提升飞轮系统荷电状态(SOC)充放电裕度的控制策略

发展了综合考虑调频性能和飞轮可靠性的飞轮辅助火电二次调频控制策略。结果表明:所提控制策略在减弱飞轮储能SOC和火电机组主蒸汽压力波动的同时

可使机组的AGC性能考核指标提升16.72%。

Abstract

Flywheel energy storage (FES) is a promising solution for improving frequency regulation performance and operational stability of thermal power units. To enhance the comprehensive performance of FES in participating in secondary frequency regulation

based on an improved whale optimization algorithm (WOA) with variational mode decomposition(VMD)

a coordinated control strategy for flywheel-assisted secondary frequency regulation of thermal power units was proposed. Firstly

based on control mechanisms on the machine side and grid side of the FES unit

a control system model of the FES array tailored to 1 000 MW ultra-supercritical thermal power units was established

as well as a secondary frequency regulation model for the collaborative control of the FES system and the ultra-supercritical units. Furthermore

an improved VMD method based on the WOA was proposed

achieving the optimal allocation of responses to AGC instructions for thermal power units and FES systems. Moreover

a control strategy for improving the charge and discharge margin of the SOC of the flywheel system was designed based on distribution results

and a flywhek-assisted secondary frequency regulation control strategy for thermal power that comprehensively considered the frequency regulation performance and the reliability of the flywheel was developed. Results show that the proposed control strategy can increase the AGC performance evaluation indicator of the unit by 16.72%

while reducing the SOC of FES and the main steam pressure fluctuation in thermal power units.

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references

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