Unit commitment using a hybrid model between Lagrangian relaxation and genetic algorithm in competitive electricity markets

被引：61

作者：

Yamin, HY ^{[1
]}

Shahidehpour, SM

机构：

[1] Yarmouk Univ, Hijjawi Fac Engn, Power Engn Dept, Irbid 21163, Jordan

[2] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2004年 / 68卷 / 02期

关键词：

competitive electricity markets; unit commitment; genetic algorithm; Lagrangian relaxation;

D O I：

10.1016/S0378-7796(03)00147-0

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 hybrid model between Lagrangian relaxation (LR) and genetic algorithm (GA) to solve the unit commitment problem. GA is used to update the Lagrangian multipliers. The optimal bidding curves as a function of generation schedule are also derived. An IEEE 118-bus system is used to demonstrate the effectiveness of the proposed hybrid model. Simulation results are compared with those obtained from traditional unit commitment. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：83 / 92

页数：10

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