摘要：In an electricity market generating companies and large consumers need suitable bidding modelsto maximize their profits. Therefore, each supplier and large consumer will bid strategically forchoosing the bidding coefficients to counter the competitors bidding strategy. In this paper,bidding strategy problem is modeled as an optimization problem and solved using a novelalgorithm based on Bacterial Foraging Algorithm (BFA). BFA is an optimization algorithminspired on bacteria moving in their environment looking for high-nutrient areas. The BFstrategy is based upon the fact of survival of species in any natural evolution process dependsupon their fitness criteria, which relies upon their food searching and motile behavior. Due tothis it has better precise search which avoids premature convergence and always looking for thehigh-nutrient areas causes’ fast convergence. Therefore the proposed method overcomes theshort comings of selection of operators and premature convergence of Genetic Algorithm (GA)and Particle Swarm Optimization (PSO) method. The proposed method tested with a numericalexample consists of 6 suppliers and 2 large consumers. The result shows that BFA takes lesscomputational time and producing higher profits compared to GA and PSO.
