Reconstruction Method of Active Distribution Network Based on Improved Grey Wolf Optimization Algorithm
In order to improve the economy and stability of the operation of active distribution network systems,an active distri-bution network reconstruction method based on the improved grey wolf optimization(IGWO)algorithm based is proposed.The active distribution network reconstruction model is established with the objective function of minimizing network loss and volt-age offset in the distribution network system,and the multiple objectives is transformed into single objectives for solution.The grey wolf optimization algorithm is improved by employing strategies such as Tent chaotic mappeing,convergence coefficient in-dex adjustment,and adaptive displacement,which significantly improve the optimization ability of the IGWO algorithm.Simula-tion testing is conducted using an improved IEEE 33 node system,and the reconstruction effect of the IGWO algorithm is com-pared with the GWO algorithm and PSO algorithm.The results show that the minimum network loss and minimum voltage off-set after reconstruction using the IGWO algorithm are 54.89 kW and 0.007 72,respectively.Both indicators are better than those of the GWO algorithm and PSO algorithm,which verifies the practicality and superiority of the proposed active distribution network reconstruction method.
active distribution networkreconstructionimproved grey wolf optimization algorithmcomprehensive objectivesdistributed power supply
万方数据
维普
