Data-driven adaptive distributed optimal disturbance rejection control of frequency regulation in nonlinear power systems
Changhui Yu1
Xiao Qi1
Weixiong Wu1
Hui Deng1
Ming Du2
Wenguang Zhang2
Tianyu Wang3
1.Energy and Electricity Research Center,Jinan University,Zhuhai 519070,Guangdong,China2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China3.Electric Power Research Institute,State Grid Zhejiang Electric Power Co.,Ltd,Hangzhou 310000,China
摘要：With the increasing penetration of renewable energy resources in power systems,conventional timescale separated load frequency control(LFC)and economic dispatch may degrade frequency performance and reduce economic efficiency.This paper proposes a novel data-driven adaptive distributed optimal disturbance rejection control(DODRC)method for real-time economic LFC problem in nonlinear power systems.Firstly,a basic DODRC method is proposed by integrating the active disturbance rejection control method and the partial primal-dual algorithm.Then,to deal with the tie-line power flow constraints,the logarithmic barrier function is employed to reconstruct the Lagrange function to obtain the constrained DODRC method.By analyzing the sensitivity of the uncertain parameters of power systems,a data-driven adaptive DODRC method is finally proposed with a neural network.The effectiveness of the proposed method is demonstrated by experimental results using real-time equipment.
机标关键词：distributeddisturbanceoptimalsystemscontrolpoweradaptivedata-driven
论文发表日期：2025-08-30
在线出版日期：2025-12-09（本平台首次上网日期，不代表文献的发表时间）
页数：14( 423-436 )
英文信息