Optimal electricity supply bidding by Markov decision process

被引：151
作者：
Song, HL [1 ]
Liu, CC
Lawarrée, J
Dahlgren, RW
机构：
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Econ, Seattle, WA 98195 USA
[3] ALSTOM ESCA Corp, Bellevue, WA USA
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2000年 / 15卷 / 02期
基金：
美国国家科学基金会;
关键词：
electricity market; bidding strategies; decision-making; Markov Decision Process; power system economics;
D O I：
10.1109/59.867150
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The bidding decision making problem is studied from a supplier's viewpoint in a spot market environment. The decision-making problem is formulated as a Markov Decision Process - a discrete stochastic optimization method All other suppliers are modeled by their bidding parameters with corresponding probabilities. A systematic method is developed to calculate transition probabilities and rewards. A simplified market clearing system is also included in the implementation. A risk-neutral decision-maker is assumed, the optimal strategy is calculated to maximize the expected reward over a planning horizon. Simulation cases are used to illustrate the proposed method.
引用
收藏
页码：618 / 624
页数：7
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