Optimal Design of Fuzzy-AGC Based on PSO&RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems

作     者：Ali Darvish Falehi Ali Darvish Falehi

作者机构：Department of Electrical EngineeringShahid Beheshti UniversityTehran ***Iran 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2020年第17卷第4期

页      码：599-609页

摘      要：Quickly getting back the synchronism of a disturbed interconnected multi-area power system due to variations in loading condition is recognized as prominent issue related to automatic generation control(AGC).In this regard,AGC system based on fuzzy logic,i.e.,so-called FLAGC can introduce an effectual performance to suppress the dynamic oscillations of tie-line power exchanges and frequency in multi-area interconnected power *** from that,simultaneous coordination scheme based on particle swarm optimization(PSO)along with real coded genetic algorithm(RCGA)is suggested to coordinate FLAGCs of the all *** clarify the high efficiency of aforementioned strategy,two different interconnected multi-area power systems,i.e.,three-area hydro-thermal power system and five-area thermal power system have been taken into account for relevant *** potency of this strategy has been thoroughly dealt with by considering the step load perturbation(SLP)in both the under study power *** sum up,the simulation results have plainly revealed dynamic performance of FLAGC as compared with conventional AGC(CAGC)in each power system in order to damp out the power system oscillations.

主 题 词：Power system dynamic stability fuzzy logic automatic generation control(FLAGC) particle swarm optimization(PSO) real coded genetic algorithm(RCGA) simultaneous coordination scheme 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 080802[080802] 0808[工学-自动化类] 081104[081104] 08[工学] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1007/s11633-017-1064-0

馆 藏 号：203388862...