A Novel Meta-heuristic for Optimal Allocation of Distributed Generation in Balanced Distribution Network Considering Hourly Load Variation

In this paper, a novel optimization technique, namely, multi-objective modified symbiotic organisms search (MOMSOS) is proposed for optimal allocation of distributed generation (DG) units in radial distribution system (RDS). Three renewable DG units, such as, solar photovoltaic, wind turbine and biomass system are considered for integration into the RDS. The process of DG integration is guided by minimization of four operational objectives, such as, annual energy loss, annual investment and operating cost, annual electricity purchase cost and total voltage deviation of the system. In this study the hourly variation in generation of renewable sources and system load are considered for realistic planning. The simulation results on 69-node RDS show the effectiveness of the proposed approach as it successfully determines the optimal locations and sizes of the DG units while im proving the system performance.