Linear active disturbance rejection-based load frequency control concerning high penetration of wind energy

被引：61

作者：

Tang, Yanmei ^{[1
]}

Bai, Yan ^{[1
]}

Huang, Congzhi ^{[1
]}

Du, Bin ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China

来源：

ENERGY CONVERSION AND MANAGEMENT | 2015年 / 95卷

基金：

中国国家自然科学基金;

关键词：

Load frequency control (LFC); Linear active disturbance rejection control (LADRC); Wind energy conversation system (WECS); Doubly fed induction generator (DFIG); Hybrid particle swarm optimization (HPSO); POWER-SYSTEM; TURBINES; DESIGN; STRATEGY;

D O I：

10.1016/j.enconman.2015.02.005

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A new grid load frequency control approach is proposed for the doubly fed induction generator based wind power plants. The load frequency control issue in a power system is undergoing fundamental changes due to the rapidly growing amount of wind energy conversation system, and concentrating on maintaining generation-load balance and disturbance rejection. The prominent feature of the linear active disturbance rejection control approach is that the total disturbance can be estimated and then eliminated in real time. And thus, it is a feasible solution to deal with the load frequency control issue. In this paper, the application of the linear active disturbance rejection control approach in the load frequency control issue for a complex power system with wind energy conversation system based on doubly fed induction generator is investigated. The load frequency control issue is formulated as a decentralized multi-objective optimization control problem, the solution to which is solved by the hybrid particle swarm optimization technique. To show the effectiveness of the proposed control scheme, the robust performance testing based on Monte-Carlo approach is carried out. The performance superiority of the system with the proposed linear active disturbance rejection control approach over that with the traditional proportional integral and fuzzy-proportional integral-based controllers is validated by the simulation results. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：259 / 271

页数：13

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