Price-taker bidding strategy under price uncertainty

This paper provides a framework to obtain the optimal bidding strategy of a price-taker producer. An appropriate forecasting tool is used to estimate the probability density functions of next-day hourly market-clearing prices. This probabilistic information is used to formulate a self-scheduling profit maximization problem that is solved taking advantage of its particular structure. The solution of this problem allows deriving a simple yet informed bidding rule. Results from a realistic case study are discussed in detail. Index Terms--Bidding strategy, forecasting, MILP, pool-based electricity market, price-taker producer, self-scheduling.