Study on Bidding Schemes and Decision-making method for Power Plant in Day-ahead Power Market

被引：1
|
作者：
Yuan, Zhongxiong [1 ]
Gu, Danzhen [2 ]
机构：
[1] Shanghai Univ Elect Power, Comp & Informat Engn Inst, Shanghai SDS, Peoples R China
[2] Shanghai Univ Elect Power, Elect & Control Engn Inst, Shanghai SDS, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS | 2009年
关键词：
electricity market; market clearing price(MCP); multi-attribute decision-making principle; ELECTRICITY; PRICES; MODELS;
D O I：
10.1109/AICI.2009.473
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel method to help the bidder to make a reasonable bidding strategy. Three bidding schemes are discussed in this paper, that is, cost analytical method, time series analysis method and grey prediction method. The decision method based on multi-attribute decision-making principle is presented to choose a best bidding strategy from optional three schemes. This method is used in a certain power plant of East-China electricity market and case study verified its effectiveness.
引用
收藏
页码：545 / +
页数：2
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