Bidding Strategy Based on Improved Particle Swarm Optimization Algorithm for a Generation Company

被引：0
|
作者：
Afshar, Karim [1 ]
Ahmadi, Saeedeh [1 ]
Bigdeli, Nooshin [1 ]
机构：
[1] Imam Khomeini Int Univ, Dept Elect Engn, Norouzian St, Qazvin, Iran
来源：
2012 INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES 2012) | 2012年 / 13卷
关键词：
Electricity market; Bidding strategies; Uniform price; Improved particle swarm optimization; Monte Carlo simulation; ELECTRICITY;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In a competitive electricity market, how to build optimal bidding strategies in order to maximize profits has become a major concern for generation companies. This paper presents an optimal bidding strategy in a uniform price spot market. A normal probability distribution function (PDF) is used to describe the bidding behaviors of other competing generators. Bidding strategy of a generator in an hour-ahead market is solved by improved particle swarm optimization (IPSO). The effectiveness of the proposed approach is tested with examples and the results are compared with the solutions obtained using conventional particle swarm optimization (CPSO). From the test results IPSO gave better results and more suitable to build optimal bidding strategies.
引用
收藏
页码：157 / 162
页数：6
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