Coordinated Control Method for a Thermal Power-Flywheel Hybrid System Based on SVMD-NSGA Ⅱ for Optimizing Comprehensive Frequency Regulation Performance

DENG Yingchun; WANG Wei; ZHANG Wenzheng; WANG Hua

doi:10.19805/j.cnki.jcspe.2025.250357

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Coordinated Control Method for a Thermal Power-Flywheel Hybrid System Based on SVMD-NSGA Ⅱ for Optimizing Comprehensive Frequency Regulation Performance

更新时间：2026-10-10

- Coordinated Control Method for a Thermal Power-Flywheel Hybrid System Based on SVMD-NSGA Ⅱ for Optimizing Comprehensive Frequency Regulation Performance
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2056-2067(2025)
- 作者机构：
  
  1. 华北电力大学新能源电力系统全国重点实验室,北京,102206
  2. 中国华能集团清洁能源技术研究院有限公司,北京,102209
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250357
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
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邓迎春,王玮,张文政,王华. 基于SVMD-NSGA Ⅱ优化综合调频性能的火电-飞轮联合系统协同控制方法动力工程学报, 2025, 45(12): 2056-2067 https://doi.

org/10.19805/j.cnki.jcspe.2025.250357
邓迎春,王玮,张文政,王华. 基于SVMD-NSGA Ⅱ优化综合调频性能的火电-飞轮联合系统协同控制方法动力工程学报, 2025, 45(12): 2056-2067 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250357.

org/10.19805/j.cnki.jcspe.2025.250357 DOI：

摘要

为提升对电网频率的主动支撑性能

配置飞轮储能已成为很多火电厂的选择

飞轮-火电两者的协调控制已成为研究热点。针对飞轮-火电二次调频系统

提出了一种基于逐次变分模态分解-非支配排序遗传算法Ⅱ(SVMD-NSGA Ⅱ)迭代寻优的飞轮-火电二次调频系统协同优化控制方法。首先

设计了基于SVMD的自动发电控制(AGC)指令分解策略

实现了适应火电缓变特征的指令分配;进而

考虑调频性能、飞轮荷电状态和经济性等目标

提出了一种适应多目标优化的SVMD参数迭代寻优方法

构建了基于SVMD-NSGA Ⅱ迭代寻优的飞轮-火电二次调频系统协同优化控制模式。以某实际系统为例进行了仿真测试

结果表明:所提控制策略在降低火电机组燃料量和主蒸汽压力波动的同时

大幅提升了机组的二次调频性能和经济性;相比于传统的低通滤波方法

所提控制策略的二次调频性能指标

提升了17.8%

调频年收益增加了97.08万元。

Abstract

To enhance the active support capability for grid frequency

the deployment of flywheel energy storage systems has become a preferred solution for many thermal power plants

making the coordinated control of flywheel and thermal power units a research hotspot. A coordinated optimal control method for a flywheel-thermal power secondary frequency regulation system based on sequential variational mode decomposition-non-dominated sorting genetic algorithm Ⅱ (SVMD-NSGA Ⅱ) iterative optimization was proposed. First

an automatic generation control (AGC) signal decomposition strategy based on SVMD was designed to allocate control commands in a manner compatible with the slow dynamic characteristics of thermal units. Then

by accountin

g for frequency regulation performance

the state of charge of the flywheel

and economic efficiency

a multi-objective SVMD parameter optimization method was developed. This formed a collaborative optimization control framework for secondary frequency regulation based on SVMD-NSGA Ⅱ iterative optimization. A case study based on an actual power system was conducted through simulation. Results show that the proposed strategy significantly reduces the fluctuations of fuel consumption and main steam pressure

while markedly improving the secondary frequency regulation performance and economic benefits of the thermal unit. Compared to conventional low-pass filtering methods

the proposed strategy improves the secondary frequency regulation performance index

by 17.8% and increases annual frequency regulation economic revenue by 970 800 yuan.

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references

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