Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm

被引：45
|
作者：
Sambariya, D. K. [1 ]
Prasad, Rajendra [1 ]
机构：
[1] Indian Inst Technol Roorkee, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2015年 / 17卷 / 03期
关键词：
Fuzzy power system stabilizer; Harmony search algorithm optimized fuzzy power system stabilizer; Particle swarm optimization (PSO) tuned input-output FPSS; SMIB power system; Two-area ten-machine power system; PARTICLE SWARM OPTIMIZATION; JOINT REPLENISHMENT; ROBUST DESIGN; EXCITATION; ENHANCEMENT; LOCATION; MODEL; PSS;
D O I：
10.1007/s40815-015-0041-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the design of fuzzy logic power system stabilizer (FPSS) is carried out using a harmony search algorithm (HSA) to optimize the input-output scaling factors of the fuzzy logic controller. The optimization problem is considered minimization of integral square error as an objective function with single-machine and multimachine power system. The performance of the HSA optimized FPSS with both systems is compared that of with robust FPSS; HSA tuned input scaling factors of FPSS, and particle swarm optimization tuned input-output FPSS for a wide range of operating conditions. The speed response performance for both systems is compared in terms of performance indices, and superiority of the proposed HSFPSS is validated.
引用
收藏
页码：457 / 470
页数：14
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