Competitive Bidding in Electricity Markets with Carbon Emission by Using Particle Swarm Optimization

被引：0
作者：
Dwivedi, K. [1 ]
Kumar, Y. [1 ]
Agnihotri, G. [1 ]
机构：
[1] Maulana Azad Natl Inst Technol Bhopal, Dept Elect Engn, Bhopal, MP, India
来源：
INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTIST, IMECS 2012, VOL II | 2012年
关键词：
Bidding; Electricity market; PSO; Carbon Emission; UNIT-COMMITMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this oligopolistic electricity market, the maximization of profit for generators is mainly dealt with the used bidding strategies. For selling of electricity with maximum profit power companies required suitable bidding models that includes power operating constraints and price uncertainty within the market. In this paper, we present particle swarm optimization (PSO) algorithms to determine bid prices and quantities under the rules of a competitive power market with using emission as a constraint. The Objective of this paper is the potential impacts of emissions trading on power industries and electricity markets. Increasing environmental issues and regulations have forced Generation companies (GENCOs) to review the policies being used for long term planning. Constraints on CO2 emission are restricted the GENCOs to adopt the green technologies.
引用
收藏
页码：1078 / 1082
页数：5
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