Residential Energy Management of a Grid-Connected Active Building Via Fire-hawk Algorithm

This paper has used a new method for simultaneously considering the economic efficiency and the load factor based on economic theory in a home area network (HAN) to improve the load management efficiency. The HAN is an active grid-connected building contains: wind turbine, photovoltaic system (PV), electrical vehicle (EV) with possibility of charge and discharge and some loads such as; refrigerator, AC system, washing machine, dishwasher and oven. In this paper, the uncertainty related to the renewable generations and the hourly electricity tariff are also taken into account. Fire-Hawk algorithm (FHA) is used to solve this problem. The effectiveness of the suggested strategy is demonstrated by comparing the results with the basic state. Comparatively, the proposed method is able to decrease the peak load and improving load factor.