Bidding strategy in pay-as-bid markets based on supplier-market interaction analysis

被引：13

作者：

Bigdeli, N. ^{[1
]}

Afshar, K. ^{[1
,2
]}

Fotuhi-Firuzabad, M. ^{[2
]}

机构：

[1] Imam Khomeini Int Univ, EE Dept, Qazvin, Iran

[2] Sharif Univ Technol, EE Dept, Tehran, Iran

来源：

ENERGY CONVERSION AND MANAGEMENT | 2010年 / 51卷 / 12期

关键词：

Bidding strategy; Electricity market; Incomplete information; Neural networks; Pay-as-bid; ELECTRICITY; PRICE; GAME;

D O I：

10.1016/j.enconman.2010.05.006

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, a new bidding strategy for pay-as-bid market suppliers is introduced. This method is based on a systematic analysis of interactions of market with the suppliers via several market indices as well as forecasting important indices by artificial neural networks. Besides, the proposed method considers the practical limitations in the system and deals with incomplete information handling, closely. Next, a strategic bidding approach is proposed for optimal bidding by the suppliers. In these investigations, the paper focus is on the experimental situation of Iran electricity market as a pay-as-bid market and a sample generating company with several generating units from this market is considered as the benchmark. The results of applying this approach to this generating company are representative of good performance of the proposed method. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：2419 / 2430

页数：12

共 32 条

[1] Energy price forecasting: Problems and proposals for such predictions [J].