Optimal Generation Portfolio Allocation in Competitive Electricity Market

被引：0

作者：

Pindoriya, N. M. ^{[1
]}

Singh, S. N. ^{[2
]}

Singh, S. K. ^{[3
]}

机构：

[1] Indian Inst Technol Kanpur, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India

[2] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark

[3] Indian Inst Management, Business Environm Area, Lucknow 226013, Uttar Pradesh, India

来源：

2009 ANNUAL IEEE INDIA CONFERENCE (INDICON 2009) | 2009年

关键词：

Electricity market; fuzzy membership; generation portfolio allocation; multiobjective optimization; MOPSO; PARTICLE SWARM OPTIMIZATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a multiobjective optimization framework based electricity portfolio allocation model for generating companies (GenCos) in deregulated electricity market. Since, it is competing and conflicting multi-objective optimization problem, this paper applies a multi-objective particle swarm optimization (MOPSO) based meta-heuristic technique to provide Pareto frontier in a single simulation run. The performance of the proposed approach has been tested using a case study of the PJM electricity market. The assets available for GenCo, by participating in electricity markets, are considered to be the spot energy market and bilateral contacts. Two cases with different bilateral contract prices are presented.

引用

页码：249 / +

页数：2

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