A fuzzy approach for dynamic economic dispatch under uncertain deregulated power system

This paper proposes a fuzzy approach to solve dynamic economic dispatch under uncertain deregulated power system. This research is developed from the viewpoint of a generation company wishing to maximize profit as a participant in the deregulated power and reserve markets. We assume that the generation company participates in the day-ahead energy and spinning reserve markets. These markets are operated separately one day before the day of exchange. The coordination between two markets is managed by the ramp rate limits. We suppose that the spinning reserve must be loaded in 10 minutes. The uncertainty. in prices, demands, reserves and the probability that reserves are used in the real time are represented with fuzzy numbers. Then, the fuzzy concept is applied to formulate the problem. The optimal power and reserve quatities sold into energy and reserve markets are determined by solving optimization problem using evolutionary programming. Two methods of reserve payment will be studied in this paper.