Multi-Objective Optimal Location and Sizing of Hybrid Photovoltaic System in Distribution Systems Using Crow Search Algorithm

摘要: The optimal size and location of Distributed generation (DG) in a distribution system can minimize the power loss improve voltage profile system. But random placement DG will not solve problem profile. Therefore optimization algorithms are used to find This research paper introduces new metaheuristic algorithm which is Crow search (CSA) calculate multiple solar photovoltaic (PV) units for reducing improving also discusses complete mathematical modeling probabilistic PV generation, time-varying load modeling, calculation, stability, calculation. method proposed this tested on IEEE 30 57 bus test systems compared with other existing methods like Genetic (GA), Particle swarm (PSO) Hybrid GA-PSO method.  CSA has only 2 settings parameters while GA PSO have 6 3 parameters. Because this, computation time complexity less comparison it gives better result. by using CSA method, be found improved profile, computational easy implement here.