Load Frequency Control of Multi Area System Using Hybrid Particle Swarm Optimization

被引：0
|
作者：
Meena, Satish Kumar [1 ]
Chanana, Saurabh [1 ]
机构：
[1] Natl Inst Technol, Dept Elect Engn, Kurukshetra, Haryana, India
来源：
2015 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN ENGINEERING & COMPUTATIONAL SCIENCES (RAECS) | 2015年
关键词：
Automatic Generation Control (AGC); Load Frequency Control (LFC); Bacterial Foraging Algorithm (BFA); Particle Swarm Optimization (PSO); Hybrid-PSO (H-PSO); Proportional-Integral-Derivative(PID); Inter-connected Three Area system; Tie-line power Deviation; Fitness Function;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The essential point of the Automatic Generation Control (AGC) is to keep up the system frequency and tie-line power interchange within the limits by controlling the electrical power generated, whenever the fluctuations in the power system occur due to change in load demand. This paper proposes few online smart control techniques to understand the Load Frequency Control (LFC) of multi area system. The main reason to develop smart control techniques to improve the transient response of the power system by reducing the overshoot, undershoot and settling time of the multi area system. The proposed method in this paper is combination of Bacterial Foraging Algorithm (BFA) and Particle Swarm Optimization (PSO) we call it as Hybrid-PSO (H-PSO). The modelling of multi area power system and tuning of the controller are carried out in MATLAB/Simulink environment. After the analysis of results it is observed that H-PSO is better as compare to BFA and PSO.
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页数：6
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