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

页码：545 / +

页数：2

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