电力建设2025，Vol.46Issue(9)：111-119,9.DOI:10.12204/j.issn.1000-7229.2025.09.009
计及负荷等效惯量的新型电力系统机组组合安全优化方法
Security Optimization Method for Unit Commitment in New Power Systems Considering Load Equivalent Inertia
摘要
Abstract
[Objective]With the advancements in the construction of new power systems,renewable energy units are gradually replacing traditional thermal power units.The inertia level on the generation side continues to decline,and the frequency of the inertial support on the load side is becoming increasingly important.Therefore,it is necessary to incorporate coordinated inertia optimization between generation and load sides into conventional unit commitment processes.[Methods]In this study,the equivalent inertial support capacity of the load side was theoretically analyzed,and a calculation method for the system inertia considering load inertial response strategies was proposed.Building on this foundation,a method for assessing the minimum inertia based on the initial rate of frequency change and frequency nadir was proposed.An optimal unit commitment safety model was established based on the proposed load-response strategy and minimum inertia assessment results.[Results]Case studies demonstrated that the proposed method can satisfy system frequency security constraints,while reducing the reliance on conventional unit inertia and optimizing the allocation of inertial resources between the generation and load sides.Consequently,the overall operational economy of the system was significantly improved without compromising grid security.[Conclusions]Controllable resources on the load side can provide flexible equivalent inertia support through their rapid response capabilities,effectively mitigating frequency decline and reducing system operating costs.关键词
系统频率响应/机组组合优化/频率安全/负荷等效惯量Key words
system frequency response/unit commitment optimization/frequency security/load-equivalent inertia分类
信息技术与安全科学引用本文复制引用
宋嘉雯,王琦,王亚伦,夏宇翔,汤奕..计及负荷等效惯量的新型电力系统机组组合安全优化方法[J].电力建设,2025,46(9):111-119,9.基金项目
This work is supported by National Key R&D Program of China(No.2024YFB2408905).国家重点研发计划资助项目(2024YFB2408905) （No.2024YFB2408905）
