Title :
Multimarket optimal bidding for a power producer
Author :
Plazas, Miguel A. ; Conejo, Antonio J. ; Prieto, Francisco J.
Author_Institution :
Union Fenosa Generacion, Madrid, Spain
Abstract :
This paper considers a profit-maximizing thermal producer that participates in a sequence of spot markets, namely, day-ahead, automatic generation control (AGC), and balancing markets. The producer behaves as a price-taker in both the day-ahead market and the AGC market but as a potential price-maker in the volatile balancing market. The paper provides a stochastic programming methodology to determine the optimal bidding strategies for the day-ahead market. Uncertainty sources include prices for the day-ahead and AGC markets and balancing market linear price variations with the production of the thermal producer. Results from a realistic case study are reported and analyzed. Conclusions are duly drawn.
Keywords :
power generation control; power generation economics; power markets; pricing; stochastic programming; automatic generation control; balancing market; day-ahead market; electricity spot market; linear price variation; multimarket optimal bidding; price-making; profit-maximization; stochastic programming; thermal power producer; Automatic generation control; Costs; Probability; Production; Programming profession; Random variables; Statistics; Stochastic processes; Uncertainty; Upper bound; Electricity spot markets; market power; optimal bidding strategies; stochastic programming;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.856987