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has been cited by the following article:

• TITLE: Optimization and Design of PV-Wind Hybrid System for DC Micro Grid Using NSGA II

  AUTHORS: R. Sathishkumar, V. Malathi, V. Premka

  KEYWORDS: Microgrid, Optimization, Photovoltaic, Wind Turbine, Storage System, Genetic Algorithm, NSGA II

  JOURNAL NAME: Circuits and Systems, Vol.7 No.7, May 27, 2016

  ABSTRACT: The world is heading towards renewable energy, but the two key disputes that stop its well-known adoption are the power production level and the price of the production. Distributed generation (DG), and hybrid systems with battery backup are the solution for uninterrupted power supply. It is obtained using the Multi-Objective Genetic Algorithm (NSGA II). Techno-economic methodology is used in this proposed system for the size optimization. The result is based on the system cost, in order to meet the load requirements. The effect of temporal sampling is optimized using low-rate temporal data. It is compared with hybrid DC microgrid, which has been optimized using high temporal resolution data.