Swine Influenza Model Based Optimization for operation management of Micro-Grid

Abstract

In recent years, many modern power grids and energy management systems focused their attention to derive an optimal operational planning with regard to energy costs minimization of Micro-Grid (MG) and better utilization of Renewable Energy Sources (RES) such as wind and solar. Size of Battery Energy Storage (BES) plays an important role in the operation management of MG. In this paper a cost-based formulation has been performed to minimize total operation cost of MG considering optimal size of BES under various constraints such as, power capacity of Distributed Generators (DGs), power and energy capacity of BES, charge/discharge efficiency of BES, operating reserve and load demand satisfaction. Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) has been applied here to solve the operation management problem of MG and simulation results establish that SIMBO-Q algorithm outperforms several existing optimization techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bat Algorithm (BA) and Improved Bat Algorithm (IBA) in terms quality of solution and computational efficiency.