Optimal Management of Microgrid Using Heuristic Search Algorithm

Abstract

A microgrid is a small scale power system that operates either independently or in combination with the main gird. The intent of using the microgrid is to act as a backup power supply or to boost the main grid during the heavy load demand. Microgrid consists of renewable energy sources like wind turbine and photovoltaic cell to enhance the stability and reliability of the power system. The management of the microgrid takes into account the optimization of the operating cost of the generation unit within the operating limits and the emission rate of the gases. Battery output power which is used to find optimized results is forecasted using fuzzy logic technique. The optimized operation of the microgrid is performed by using Back tracking search algorithm. Back tracking search algorithm (BSA) is a heuristic search technique based on the single control parameter having crossover and mutation operator. In BSA, randomly generated population is stored in the memory for calculating the search direction matrix and the explore the search space bounded by the constraints. In order to show the effectiveness of the global search technique, it is applied on the five scenarios of the microgrid.