Multi-objective optimal electricity transaction of interconnected power network based on improved non-dominated sorting genetic II algorithm and multiple attributes decision making of base point and entropy

The optimization model for multi-objective transaction of interconnected power grid is solved by non-dominated sorting genetic algorithm II (NSGA-II) algorithm and the solutions over diversified Pareto front are obtained which can offer wealth of information for the decision-making; further combining the Pareto front with multiple attributes decision-making (MADM), the optimal solution is screened out. Results of calculation example show that the optimal solution attained by the proposed method is better that that obtained by Shapley value-based cooperative game method. The attained solution can provide optimized allocation scheme for electric power transaction of integrated power grid precisely.