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Robust frequency control in a renewable penetrated power system: an adaptive fractional order-fuzzy approach

作     者:Anil Annamraju Srikanth Nandiraju 

作者机构:Department of Electrical EngineeringNational Institute of Technology WarangalWarangalTelangana506004India 

出 版 物:《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制(英文))

年 卷 期:2019年第4卷第1期

页      面:193-207页

核心收录:

学科分类:08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

基  金:National Institute of Technology Warangal 

主  题:Adaptive fractional order-fuzzy-PID controller Renewable energy sources Load frequency control TLBO algorithm 

摘      要:Purpose Load frequency control(LFC)in today’s modern power system is getting complex,due to intermittency in the output power of renewable energy sources along with substantial changes in the system parameters and *** address this problem,this paper proposes an adaptive fractional order(FO)-fuzzy-PID controller for LFC of a renewable penetrated power ***/methodology/approach To examine the performance of the proposed adaptive FO-fuzzy-PID controller,four different types of controllers that includes optimal proportional-integral-derivative(PID)controller,optimal fractional order(FO)-PID controller,optimal fuzzy PID controller,optimal FO-fuzzy PID controller are compared with the proposed *** dynamic response of the system relies upon the parameters of these controllers,which are optimized by using teaching-learning based optimization(TLBO)*** simulations are carried out using MATLAB/SIMULINK *** The simulation outcomes reveal the supremacy of the proposed approach in dynamic performance improvement(in terms of settling time,overshoot and error reduction)over other controllers in the literature under different ***/value In this paper,an adaptive FO-fuzzy-PID controller is proposed for LFC of a renewable penetrated power *** main contribution of this work is,a maiden application has been made to tune all the possible parameters of fuzzy controller and FO-PID controller simultaneously to handle the uncertainties caused by renewable sources,load and parametric variations.

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