Multi-objective Transmission Planning Associated With Wind Farms Applying NSGA-II Hybrid Intelligent Algorithm

Wind farms connected to grid would have effects on fossil energy saving,harmful gas emission reduction,and negatively on power systems reliability.In order to maximize integration result of investment efficiency,power system reliability,and environmental effects,this paper proposed the multi-objective transmission planning model with consideration of wind farms' connection lines.Aiming at solving unknown objective weights,artificial neural network(ANN) convergence and decision rationality difficulties,the hybrid intelligent algorithm combined with stochastic simulation,neural network,and non-dominated sorting genetic algorithm II(NSGA-II) was proposed,which could narrow the optimal solution scope by deviations maximization method and technique for order preference by similarity to an ideal solution(TOPSIS).Wind farms were added to IEEE Garver-6 test system,and the modified test system study results show that the method has higher decision-making efficiency and calculation precision,and verify that the proposed model and method are reasonable and effective.