This paper considers a strategic power producer that trades electric energy in an electricity pool. It provides a procedure to derive the optimal offering strategy of this producer. A multiperiod network-constrained market-clearing algorithm is considered. Uncertainty on demand bids and offering strategies of rival producers is also modeled. The proposed procedure to derive strategic offers relies on a bilevel programming model whose upper-level problem represents the profit maximization of the strategic producer while the lower-level one represents the market clearing and the corresponding price formation. This bilevel model is reduced to a mixed-integer linear programming problem using the duality theory and the Karush-Kuhn-Tucker optimality conditions. Results from an illustrative example and a case study are reported and discussed. Finally, some relevant conclusions are duly drawn.

This paper provides a methodology to assist a strategic producer in making informed decisions on generation investment. A single target year is considered with demand variations modeled through blocks. The strategic behavior of the producer is represented through a bilevel model: the upper-level considers both investment decisions and strategic production actions and the lower-level corresponds to market clearing. Prices are obtained as dual variables of power balance equations. Rival uncertainties (on offering and investment) are characterized through scenarios. The resulting model is a large-scale mixed-integer LP problem solvable using currently available branch-and-cut techniques. Results pertaining to an illustrative example and a case study are reported and discussed.