Generation and reserve dispatch in a competitive market using constrained particle swarm optimization

被引：47

作者：

Azadani, E. Nasr ^{[1
]}

Hosseinian, S. H. ^{[1
]}

Moradzadeh, B. ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2010年 / 32卷 / 01期

关键词：

Multi-area competitive electricity market; Particle swarm optimization; Energy bidding price; Reserve bidding price; ECONOMIC-DISPATCH; REACTIVE POWER; ALGORITHM; ENERGY; SYSTEM;

D O I：

10.1016/j.ijepes.2009.06.009

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：

Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. In addition, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on constrained particle swarm optimization (CPSO) is developed to deal with the multi-product (energy and reserve) and multi-area electricity market dispatch problem. Constraint handling is based on particle ranking and uniform distribution. CPSO method offers a new Solution for optimizing the total market cost in a multi-area competitive electricity market considering the system constraints. The proposed technique shows promising performance for smooth and non smooth cost function as well. Three different systems are examined to demonstrate the effectiveness and the accuracy of the proposed algorithm. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：79 / 86

页数：8

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