文章基本信息

标题：Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm
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作者：Fannie Kong ; Jinfang Li ; Daliang Yang 等
期刊名称：Studies About Languages
印刷版ISSN：2029-7203
出版年度：2020
卷号：26
期号：6
页码：32-39
DOI：10.5755/j01.eie.26.6.27484
出版社：Faculty of Humanities, Kaunas University of Technology
摘要：The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is presented based on the offspring grey wolf optimizer (OGWO) search strategy to handle local convergence for the GWO algorithm in the later stage. The experimental results show that the improved grey wolf algorithm has a superior optimization ability for the standard test function. The traditional proportional integral derivative (PID) controller cannot track the random disturbance of wind power in the hydro, thermal, and wind interconnected power grid. However, the proposed OGWO dynamically adjusts the PID controller control parameters to follow the wind power random disturbance, regional frequency deviation, and tie-line power deviation.
关键词：Load frequency control;Area control error;Hydro-thermal-wind interconnected power system;Improved grey wolf optimization algorithm.