Optimization of PV-wind-battery storage microgrid system utilizing a genetic algorithm

The sudden increase in power demand has put the utilization of renewable energy technologies (RETs) in a crucial position to reduce the number of people that have no access to the electrical power supply on the global note. The sustainable energy system is the cost effective technology to meet the load demand based on different applications and combinations of several components of RETs. In view of this, the optimization of an off-grid power system that comprises of the diesel generator, PV, WTG and ESS is investigated. This research work permits the load sharing among the components of a microgrid system as a criterion to harness the economic benefits of RETs. This paper presents the application of the GA to minimize the total cost of the proposed microgrid system. This optimization method is implemented in MATLAB environment and the simulation results indicate that minimum total cost is obtained from the technique. The GA is much simpler to implement and uses less computational time to solve the problem of the power system. The proposed algorithm can assist the distribution network operators to reduce the total cost that is related to the operation of a microgrid system