Pseudo inspired gravitational search algorithm for optimal sizing of grid with integrated renewable energy and energy storage

Abstract

This study presents proposed Pseudo-Inspired Gravitational Search Algorithm (PI-GSA) for solving complex Economic Dispatch (ED) problem in the power system and Optimal sizing of the components for a self-contained and grid connected hybrid energy system that meets the load demand of a particular village. This method can be scaled according to the need of the system under investigation. From the results obtained, it can be inferred that with the use of local available energy sources, the grid connected mode serves as more economical and reliable choice for the electrification of numerous villages when compared with the stand-alone hybrid energy system. To check the effectiveness and performance of proposed algorithm simulation results for Complex Economic Dispatch (Cases 1) are compared with other methods reported in literature and Optimal sizing of the components for self-contained and grid integrated renewable energy resources (Case 2) are compared with the results obtained from Hybrid Optimization Model for Electric Renewable (HOMER). A qualitative comparison of the obtained result with other standard population based meta-heuristic techniques manifests proposed technique's superiority.