BF-NM Optimization Algorithm Based LFC for Interconnected Power System

被引：0

作者：

Tavakoli, M. R. ^{[1
]}

Khodabakhshian, A. ^{[1
]}

Hooshmand, R. ^{[1
]}

机构：

[1] Univ Isfahan, Dept Elect Engn, Esfahan, Iran

来源：

2012 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2012年

关键词：

Load frequency control (LFC); power systems; PI controller; Nelder-Mead; Bacterial Foraging technique;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel hybrid algorithm, named bacterial foraging Nelder-Mead (BF-NM), to determine the optimal values for the proportional-integral (PI) controller parameters in load frequency control (LFC) of a two-area thermal power system including governor dead-band and generation rate constraint (GRC) nonlinearities. In order to have the best optimization procedure, a local search algorithm called Nelder-Mead is used along with BF technique. In this study, the performance of the proposed BF-NM algorithm is compared with the performance of other intelligent algorithms such as CRAZYPSO and BF. The comparative results reveal the effectiveness of the proposed control strategy over other existing techniques.

引用

页码：261 / 266

页数：6

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