Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

被引:10
|
作者
Barisal, Ajit Kumar [1 ]
Lal, Deepak Kumar [1 ]
机构
[1] VSS Univ Technol, Burla, India
关键词
Automatic Generation Control; Moth-Flame Optimization Algorithm; Multi-Area Power System; Nature-Inspired Algorithm; Nuclear Power Plant; Sensitivity Analysis; Solar Thermal Power Plant;
D O I
10.4018/IJEOE.2018010102
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The superiority of the proposed MFO optimized PI/PID controller has been demonstrated by comparing the results with recently published approaches such as conventional, GA, BFOA, DE, PSO, Hybrid BFOA-PSO, FA and GWO algorithm optimized PI/PID controller for the same power system model. Then, a sensitivity analysis is carried out to study the robustness of the system to wide changes in the operating conditions and system parameters from their nominal values. The proposed approach is extended to different realistic multi-area multi-source power systems with diverse sources of power generations for simulation study. The acceptability and efficacy of the proposed technique is demonstrated by comparing with other recently published techniques.
引用
收藏
页码:22 / 49
页数:28
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