GA application to optimization of AGC in three-area power system after deregulation

被引：115

作者：

Demiroren, A. ^{[1
]}

Zeynelgil, H. L. ^{[1
]}

机构：

[1] Istanbul Tech Univ, Elect & Elect Fac, TR-34469 Istanbul, Turkey

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2007年 / 29卷 / 03期

关键词：

automatic generation control; optimization; power system control; genetic algorithm; area control error;

D O I：

10.1016/j.ijepes.2006.07.005

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：

In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area, AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：230 / 240

页数：11

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