Economic dispatch in multi-area using Particle Swarm Optimization in electricity market

被引：0
|
作者：
Azadani, E. Nasr [1 ]
Hosseinian, S. H. [1 ]
Moradzadeh, B. [1 ]
Hasanpor, P. [1 ]
机构：
[1] Amirkabir Univ Technol, Ctr Excellence Power Syst, Tehran, Iran
来源：
2008 12TH INTERNATIONAL MIDDLE EAST POWER SYSTEM CONFERENCE, VOLS 1 AND 2 | 2008年
关键词：
Particle Swarm Optimization; energy bidding price; reserve bidding price;
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：
Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, 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 address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
引用
收藏
页码：327 / 332
页数：6
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