Optimal Allocation of Hybrid Solar-Wind Distributed Generations in Distribution Networks Considering the Uncertainty Using Grasshopper optimization Algorithm

摘要

In this paper the optimal ratings and locations of hybrid renewable energy resources (RER) including solar and wind based distributed generators (DGs) are assigned by an efficient algorithm called Grasshopper optimization Algorithm (GOA) in radial distribution grid (RDG). The continuous variation of the load in RDG due to variation of the consumer activities is considered as an uncertainty issue. Thus, RER are determined optimally for minimizing the expected power loss considering the uncertainty of load. Assessment of the optimal inclusion the RER using GOA considering load uncertainty of is test on a real distribution system of the East Delta Network as a part of the Unified Egyptian Network. The simulation results show that by incorporating the solar Photovoltaic (PV) and wind systems can minimize the expected power loss considerably. In addition of that the results demonstrate the effectiveness of the GOA for solving the allocation problem of the RER in RDG in term of the power losses.