Suppliers' Optimal Biding Strategies in Day-ahead Electricity Market using Competitive Coevolutionary Algorithms

被引：0
|
作者：
Tiguercha, A. [1 ]
Ladjici, A. A. [1 ]
Boudour, M. [1 ]
机构：
[1] Univ Sci & Technol Houari Boumediene, Lab Ind & Elect Syst LSEI, Algiers, Algeria
来源：
2013 3D INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC) | 2013年
关键词：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The present paper investigates the use of competitive coevolutionary algorithm in order to find supplier's optimal strategies in a Day-Ahead Electricity Market. Market game was expressed as an optimization problem based on the definition of Nash Equilibrium strategies where the game is playing by evolutionary agents, adapting theirs strategies to maximize the profits in a competitive environment. Day-ahead market where the IS0 uses a daily load profile submitted by each Service Load to perform a DC-OPF to determine Location Marginal Price and quantities bids from each supplier generators. Market agents' (suppliers) take part in the Day-ahead transactions and act strategically in order to increase their profits from each hourly transaction.
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页数：6
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