Efficiency Maximization in Smart Microgrids Using Cultural Algorithm Optimization Considering EV Energy Storage State of Health

With the rapid development of economy and urbanization process, energy consumption of different industries has gradually increased. To reduce the fossil energy consumption and carbon-dioxide emission and to achieve the goal of greenhouse gas emissions reductions, the development and application of microgrids (MGs) using renewable energy sources have been gradually received attention worldwide. On the other hand plug-in electric vehicles (PEVs) and plug-in hybrid electric vehicles (PHEVs) which used in MGs are becoming an actual option to replace traditional combustion-engine cars. In this paper the novel optimization method in MGs, considering EV energy storage system (ESS) state of health (SOH) in the presence of demand response, was proposed. In this situation novel optimization method for efficiency maximization in smart MGs using cultural algorithm (CA) was performed. The simulation results show that, there is direct relations between ESS-SOH and overall efficiency of the MG. For this purpose, simulations were made in MATLAB software environment.

کلیدواژه ها:

Cultural algorithm ، Energy storage system (ESS) ، Plug-in electric vehicles (PEVs) ، Microgrids (MGs) ، Renewable energy ، State of health (SOH) ،