A Hybrid Algorithm based on Computational Intelligence Methods for House Energy Management in Presence of Electric Vehicle

This paper has proposed an energy management system for domestic house applications considering electric vehicle. The first step is linked to optimal and adaptive scheduling of appliances and is defined as a multi objective function model with some fuzzy coefficient and owner comfort factors. The important aspect of this tool is to help customers respond to real time electricity price. In the second step, emergency demand response program (EDRP) modeling and the possibility of energy exchange has been investigated. In the third step, the electric vehicle charging planning has been investigated as adaptive and uncertainty. In energy management part, specific scenarios is simulated which reflect 60.96% of energy consumption reduction and the optimal scheduling of electric vehicle charging too. In the emergency demand response part two specific scenarios are simulated which reflect 66.77% of energy consumption reduction and peak shaving of 1 kW per house.