电力系统自动化2026，Vol.50Issue(3)：67-76,10.DOI:10.7500/AEPS20250401004
基于分布式灵活性资源一致性建模的调频方法
Frequency Regulation Method Based on Consensus Modeling of Distributed Flexibility Resources
摘要
Abstract
With the increasing integration of a high proportion of renewable energy into power grids,the frequency regulation pressure on power systems has intensified,making flexibility resources an important supplementary means for frequency regulation.However,the characteristics of wide distribution and heterogeneous response parameters of flexibility resources make it difficult for centralized control to adapt to their dynamic disparities,leading to low coordination efficiency.To address these challenges,this paper proposes a consensus modeling method for multi-type flexibility resources and a cooperative frequency regulation strategy with dynamically allocated weights.By extracting common parameters such as power and state of charge,a consensus model(CM)based on the first-order lag element is constructed to uniformly characterize the dynamic response characteristics of resources.On this basis,a collaborative architecture with"centralized training-decentralized execution"is designed.The upper layer coordinates global frequency deviation and frequency regulation cost optimization,and the lower layer proposes a differential reward-driven state interaction weight allocation mechanism,which dynamically screens the high-value interaction information by quantifying the contribution of agent actions to the frequency control,realizing the coordinated control with"higher contribution weights leading to stronger strategy influence".Finally,the effectiveness of the proposed method is verified through a modified IEEE 39-bus system.关键词
一致性模型/灵活性资源/智能体/频率控制/调频Key words
consensus model/flexibility resource/agent/frequency control/frequency regulation引用本文复制引用
余光正,李香帅,陈甜甜,杨彬,高远..基于分布式灵活性资源一致性建模的调频方法[J].电力系统自动化,2026,50(3):67-76,10.基金项目
国家自然科学基金资助项目(52207121). This work is supported by National Natural Science Foundation of China(No.52207121). （52207121）
