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适应时变惯量的火储协同调频与经济性优化

李雨瑞 郝思鹏

分布式能源2026,Vol.11Issue(2):58-66,9.
分布式能源2026,Vol.11Issue(2):58-66,9.DOI:10.16513/j.2096-2185.DE.25100495

适应时变惯量的火储协同调频与经济性优化

Frequency Regulation and Economic Optimization of Thermal-Energy Storage Coordination Under Time-Varying Inertia Conditions

李雨瑞 1郝思鹏1

作者信息

  • 1. 南京工程学院电气工程学院,江苏省 南京市 211167
  • 折叠

摘要

Abstract

To address the challenges posed by time-varying system inertia and the insufficient adaptability of conventional thermal-storage frequency regulation strategies under high renewable penetration,this paper proposes a coordinated thermal-storage frequency control strategy based on online inertia estimation and adaptive deadband optimization.The strategy employs a hierarchical coordination mechanism:under small disturbances,energy storage systems—acting as fast,distributed flexible resources—are prioritized for response through a reduced deadband setting,thereby avoiding frequent cycling and wear of thermal units;under large disturbances,the equivalent system inertia is identified via inversion of the frequency response,enabling adaptive adjustment of the storage's virtual inertia and droop coefficient to dynamically compensate system damping.Furthermore,a full-lifecycle cost model incorporating cycle-life degradation is established to quantify the economic benefits of the proposed strategy.Simulation results demonstrate that the approach effectively mitigates system oscillations while significantly reducing overall frequency regulation costs,offering a technically and economically viable solution for distributed energy storage participation in grid ancillary services and frequency stability management in low-inertia power systems.

关键词

频率调节/储能系统/死区控制/火储联合/经济性分析

Key words

frequency regulation/energy storage systems/deadband control/thermal-storage coordination/economic analysis

分类

能源科技

引用本文复制引用

李雨瑞,郝思鹏..适应时变惯量的火储协同调频与经济性优化[J].分布式能源,2026,11(2):58-66,9.

基金项目

This work is supported by the Jiangsu Provincial Special Program of Scientific and Technological Innovation for Carbon Peak and Carbon Neutrality(No.BE2022003-4). 江苏省碳达峰碳中和科技创新专项(BE2022003-4) (No.BE2022003-4)

分布式能源

2096-2185

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