[1]张国斌,周　磊,郭瑞君,等.火-储耦合系统一次调频控制策略与容量配置协同优化[J].郑州大学学报(工学版),2026,47(01):131-139.[doi:10.13705/j.issn.1671-6833.2026.01.003]
　ZHANG Guobin,ZHOU Lei,GUO Ruijun,et al.Coordinated Optimization of Primary Frequency Regulation Control Strategy and Capacity Configuration for Thermal Power Unit-Flywheel Energy Storage Coupled System[J].Journal of Zhengzhou University (Engineering Science),2026,47(01):131-139.[doi:10.13705/j.issn.1671-6833.2026.01.003]

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火-储耦合系统一次调频控制策略与容量配置协同优化()

分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:

47

期数:

2026年01期

页码:

131-139

栏目:

出版日期:

2026-01-06

文章信息/Info

Title:

Coordinated Optimization of Primary Frequency Regulation Control Strategy and Capacity Configuration for Thermal Power Unit-Flywheel Energy Storage Coupled System

文章编号:

1671-6833(2026)01-0131-09

作者:

张国斌¹;  周　磊¹;  郭瑞君¹;  党少佳¹;  魏宽畅²;  梁　璐²;  洪　烽²

1.内蒙古电力(集团)有限责任公司 内蒙古电力科学研究院分公司,内蒙古 呼和浩特 010020;2.华北电力大学 控制与计算机工程学院,北京 102206

Author(s):

ZHANG Guobin¹;  ZHOU Lei¹;  GUO Ruijun¹;  DANG Shaojia¹;  WEI Kuanchang²;  LIANG Lu²;  HONG Feng²

1. Inner Mongolia Electric Power Research Institute, Inner Mongolia Power (Group) Co., Ltd., Hohhot 010020, China; 2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

关键词:

飞轮储能;  一次调频;  容量配置;  控制策略;  协同优化

Keywords:

flywheel energy storage;  primary frequency regulation;  capacity configuration;  control strategy;  coordinated optimization

分类号:

TK02TM621TM91

DOI:

10.13705/j.issn.1671-6833.2026.01.003

文献标志码:

A

摘要:

针对飞轮储能耦合火电机组参与一次调频过程中控制策略和容量配置的关键问题,提出了一种考虑飞轮储能荷电状态管理的火-储耦合系统一次调频控制策略和容量配置协同优化方法。首先,建立了考虑飞轮储能荷电状态动态管理的火-储耦合系统控制策略;其次,提出了综合考虑一次调频性能、全生命周期成本和经济性收益的经济评估模型,构建一次调频控制策略与容量配置协同优化框架,并采用粒子群算法求解;最后,采用某350 MW二次再热机组典型日调频数据进行仿真验证,并对求解过程中关键参数进行灵敏度分析。结果表明:所提协同优化方法可以提高火-储一次调频性能和调频收益。其中,储能系统全生命周期总体经济收益提升15.09%,投资回收年限缩短13.14%,验证了所提协同优化方法的有效性。

Abstract:

To address the key challenges in control strategy and capacity configuration design for flywheel energy storage (FES) coupled with thermal power unit (TPU) in primary frequency regulation, a coordinated optimization of primary frequency regulation control strategy and capacity configuration for TPU-FES coupled system considered state of charge (SOC) management was proposed. Firstly, a dynamic control strategy was developed for the TPUFES coupled system, which considered the SOC management of FES. Secondly, an economic evaluation model was established, which comprehensively considered primary frequency regulation performance, life-cycle cost, and economic benefit. On this basis, a coordinated optimization method for control strategy and capacity configuration was constructed and solved using the particle swarm optimization algorithm. Finally, a case study based on the typical daily frequency regulation data from a real 350 MW double-reheat TPU were conducted to validate the simulation results, along with the sensitivity analysis of key parameters. The results demonstrated that the proposed method significantly enhanced both frequency regulation performance and economic benefits. Specifically, the life-cycle economic benefit of the FES increased by 15.09%; the investment payback period was reduced by 13.14%; and the effectiveness of the proposed coordinated optimization method was proved.

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