Bidding strategy based on artificial intelligence for a competitive electric market

A bidding strategy using a fuzzy-c-mean (FCM) algorithm and the artificial neural network (ANN) was developed for competitive electric markers. The no dal price information was assumed to be released into the market. The FCM w as used, first, to classify the daily load pattern into peak. medium-peak a nd off-peak levels and, secondly, to classify the competitive generation co mpanies (gencos) into less-menacing, possible-menacing and menacing gencos, The back-propagation ANN was used for determining the bidding price for a genco. The FCM results aided in lessening the training data and reducing th e ANN input nodes. The IEEE 30-busbar system was used for illustrating the applicability of the proposed method.