Optimal Integration of Renewable Distributed Generation in Practical Distribution Grids based on Moth-Flame optimization Algorithm

Abstract

Distributed generator (DG) resources are small scale electric power generating plants that can provide power in distribution grids. The above benefits can be achieved by optimal integration of DG using novel optimization algorithm namely Moth-flame optimization (MFO) algorithm for determine the optimal location and sizing to reduce the power losses and augmented voltage stability index. The proposed algorithm is evaluated on IEEE 69-bus, and practical radial distribution grids: Constantine City 73-bus and Indian 85-bus. The installed DGs are photovoltaic (PV) and wind turbine (WT) sources. A numerical simulation including comparative studies was presented to demonstrate the performance and applicability of the MFO algorithm. The validity of the proposed MFO algorithm is demonstrated by comparing the obtained results with those reported in literature using other optimization techniques.