Research on the renewable energy additional price portfolio distribution optimizing problem

Based on the analysis of the portfolio distribution problem of renewable energy additional price, this paper drew three feasible rules from the practical work and established the optimal model for it, which intended to achieve such goals that decrease the trade counts, ensure the priority of province grid companies among the same area grid company and keep the trade sides stable without violating the capital restrictions of both buy and sell side. This paper adopted genetic algorithm to solve this problem, but when applied penalty function to deal with equality constraints, it often performance bad. So this paper introduced heuristic rules to amend the infeasible individuals which generated during the calculation of genetic algorithm. The proposed model and method are applied to a test system and numerical results verify the correctness and validity of them.