Data-driven adaptive distributed optimal disturbance rejection control of frequency regulation in nonlinear power systems
Changhui Yu
Xiao Qi
Weixiong Wu
Hui Deng
Ming Du
Wenguang Zhang
Tianyu Wang
Abstract：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.
Keywords：Load frequency controlEconomic dispatchActive disturbance rejection controlTie-line thermal constraintsUncertain parameters
Publication Date：2025-08-30
Online Publishing Date：2025-12-09(First online date of this platform, not the publication date of the document)
Pages：14( 423-436 )