Multi-objective reactive power optimization of wind farm based on improved genetic algorithm

For the multi-objective reactive power optimization and voltage stability of grid-connected wind farm,the reactive power optimization model based on the internal equivalent circuit of induction generator is built for power system with wind farms and the objective functions with constraints are proposed for wind farm reactive power optimization.With the non-dominated ranking method,elitist preserve strategy and improved niche approach,an improved Pareto multi-objective optimization with genetic algorithm is presented,which takes a vector modul adaptiveness function as the elimination rule.The improved algorithm is applied in the reactive power optimization for IEEE 14-bus test system with wind farm and the simulative results show that,while the bus voltage at the paralleling point of wind farm maintains within allowable range,dif-ferent Pareto optimal values are simultaneously achieved to provide decision maker with choices.