Reactive Power Optimization of Distribution Network with Distributed Power Based on Improved Grey Wolf Algorithm
In order to improve the voltage quality of distribution network with distributed power supply and reduce the line loss,a reactive power optimization model was established to minimize the network loss and voltage deviation.The model included the operation constraints of photovoltaic power generation,battery storage and power flow of distribution network.Aiming at the nonlinearity of the model,the improved gray Wolf optimization algorithm is used to solve the model.The improved IEEE33-node power distribution system is used for simulation and verification.The results show that the voltage quality of the optimized power distribution system is improved and the network loss is reduced.In addition,compared with the improved former Gray Wolf algorithm and the imperialist competition algorithm,Compared with ICA,the improved Grey Wolf algorithm improves its global optimization ability and verifies the effectiveness of the model and algorithm.
reactive power optimizationdistribution networkdistributed power supplyImproved grey wolf algorithmStored energy