Gravitational Search Algorithm (GSA) Optimized Fuzzy-PID controller Design for Load frequency control of an interconnected multi-area power system

被引：0
|
作者：
Debnath, Manoj Kumar [1 ]
Mallick, Ranjan Kumar [2 ]
Das, Sadhana [2 ]
Aman, Aditya [2 ]
机构：
[1] Siksha O Anusandhan Univ, Dept EE, Bhubaneswar, Odisha, India
[2] Siksha O Anusandhan Univ, Dept EEE, Bhubaneswar, Odisha, India
来源：
PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2016) | 2016年
关键词：
Automatic Generation Control; Particle Swarm Optimization; Gravitational Search Algorithm; Fuzzy Logic Controller; Proportional-Integral-Derivative controller; PERFORMANCE ANALYSIS; REHEAT;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper focuses on the load frequency control of two area interconnected reheat thermal systemwith fuzzy-PID controller optimized by gravitational search algorithm(GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation(SLP) of 1% to area 1in consideration of integral time absolute error(ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.
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