Design of Self Governing Renewable Energy Residential System by Using Optimization Techniques

Abstract: From past ten years, these self governing residential renewable systems are widely used, especially in rural areas, in isolated areas and archipelagos, the proper design of any renewable energy system and the congeniality of its power quality parameters with IEEE, NEMA and IEC standards are critical for virtuous and thrifty self governing function of the system .To this way, the crucial parameters of a self governing residential renewable systems are appropriately resolved by using Genetic Algorithm and Differential Evolution optimization techniques then design parameters are designed and compared with these two techniques. It is observed from the results that the Differential Evolution algorithm consistently outperforms the GA in terms of both efficiency and the solution quality.

Keywords: Differential Evolution, Genetic Algorithm, Photovoltaic Cell, Maximum Power Point Tracking, Inverter.