Application of Self Adaptive Differential Evolution Algorithm for Optimal Placement and Sizing of Renewable Dg Sources in Distribution Network including Different Load Models

In recent years, the renewable energy Distributed Generation (DG) sources like Photovoltaic, Wind farms gain more importance in the distribution network due to its fuel free, emission less operation and their system loss reduction capability, when they are placed in an optimal place/location with an optimal size. This paper presents the application of Self-Adaptive Differential Evolution Algorithm (SaDE) for finding an optimal placement and size of renewable DG sources for real power loss minimization. Photovoltaic cell and Wind type DGs are used in this work for real power loss minimization. Photovoltaic cell is modeled as a real power generating unit while Wind plant is modeled as a real power generating and reactive power consuming unit. When high solar energy and/or wind energy are present, the excessive power generated is stored in storage units. During unavailability of solar and wind, the demand is satisfied by utilizing power from the storage units. The optimal DG Placement and its size are calculated for constant and voltage dependent loads. The performance of SaDE for finding optimal placement and size of DGs in the distribution network is illustrated with two distribution networks namely 33-bus and 69-bus system. KEYWORDSDistributed Generation, Photovoltaic, Self-adaptive Differential Evolution, Wind farms.