Research on dynamic reactive power optimization of distribution network based on multi-objective whale optimization algorithm
With the large number of distributed generation such as photovoltaic and wind power connected to the power system,the security and economy of the power grid have been challenged.In order to adapt to the uncertainty of wind-land-scape output,considering the influence of its access location on the power grid,a dynamic reactive power optimization model of distribution network with wind-landscape is built.The multi-objective whale optimization algorithm is used to solve the model,the network loss and voltage deviation are normalized,and the solution with the smallest Euclidean distance is selected as the compromise solution of Pareto optimal solution set.Finally,through the IEEE standard 33-node simulation,the results verify that the integration of distributed generation can effectively reduce the net-work loss and voltage deviation of the system.Com-pared with other traditional multi-objective algorithms,the proposed algorithm can obtain a Pareto solution set with more uni-form distribution and higher convergence accuracy.
distributed generationdynamic reactive power optimizationPareto solution setmulti-target whale optimi-zation algorithm
万方数据
维普
