Energy management in smart power grids with the presence of renewable sources, storage devices and electric vehicles using multi-objective water cycle optimization method

Nowadays, the use of smart home appliances has made home energy management more advanced and sophisticated, so determining the optimal timing of home appliances is necessary to define the optimization problem and choose a suitable solution to achieve the necessary benefits for residential consumers. It also helped electricity suppliers by reducing energy consumption. Unlike hybrid electric vehicle (HEV) batteries, which can only charge with an electric motor plug-in hybrid electric vehicle (PHEV) can charged via a mains connection. To optimize the economics of PHEVs, it is necessary to determine an energy management strategy to coordinate the distribution of power between several energy sources. In this paper, after expressing the generalities and background of the subject, the modeling method and the formulation and problem-solving method for determining the optimal energy management strategy in smart power grids with the presence of connectable electric vehicles reviewed. The cost of electricity consumption in a micro grid including a smart home presented and the multi-objective water cycle optimization (MOWCA) method used to solve the resulting optimization problem. The simulation results show that the use of renewable energy sources, battery storage, and electric vehicles by then proposed method increases consumer benefit.