Hybrid Intelligent Technique (SFLA-PSO) for Control and Intellectual Process of Power System with Huge Penetration of Non-Conventional Energy Sources

Due to the pressure of decreasing the carbon emission and inadequate sources of fossil fuels being a major reason, Renewable Energy is being incorporated rapidly throughout the globe. Smart grids have a substantial prospective towards tapping the non-conventional energy sources in their grid-connected mode or stand-alone mode [2]. Such limited systems across the sectarian domains of distributed generation systems despite the fact of tapping non-conventional energy sources, stay expected to be the advanced networks which may assist in transmuting the power and energy segment through not only delivering energy to distant and isolated communities, but also through better safekeeping and dependability of electrical energy resource in the urban zones [2][3]. Predominantly, due to a very large or bulk dispersion of non-conventional energy, the system units are expected to practice substantial encounters in sheltered and steady state process, very prominently on advanced stages of inconstant and spasmodic non-conventional sources (solar and wind). This paper is aimed to investigate the influence of the distributed generation like Wind and PV on the power system due to the large diffusion of non-conventional sources.