文章基本信息

标题：Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected Via Parallel AC-DC Links
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作者：K.R.M.Vijaya Chandrakala ; S. Balamurugan
期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2018
卷号：10
期号：3
页码：479-490
DOI：10.15676/ijeei.2018.10.3.5
出版社：School of Electrical Engineering and Informatics
摘要：The article focuses towards the development of an optimal secondary controllerwhich could adapt with the varying system conditions to maintain the frequency and tielinepower flow variations within the nominal value. For the analysis, a two area multisource system consisting of thermal, hydro and nuclear system in one area is interconnectedwith another area comprising of thermal and hydro system via parallel AC-DC links. Onsubjection to unit step load change in demand, the impact on frequency and tie-line powerflow variations in multi source multi area is observed under MATLAB / Simulinkenvironment. The fine tuning of frequency and tie-line power flow variations is achievedwith the help of secondary controller. Optimal secondary Proportional Integral (PI)controller is chosen based on Zeigler Nichols’ (ZN), Genetic Algorithm (GA), Fuzzy GainScheduling (FGS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) tuningtechniques. On subjection to different load variations at different intervals of time, ANFIStuned PI controller has retained the frequency and tie-line power variations for a robustmulti source multi area system interconnected via parallel AC-DC links in a much fasterway to its nominal values than other methods. The performance of the controller isevaluated based on performance indices.
关键词：Load Frequency Control (LFC); Zeigler Nichols’ (ZN) Method; Genetic;Algorithm (GA) Technique; Adaptive Neuro;Fuzzy Gain Scheduling (ANFIS) Technique;Integral Squared Error (ISE);