Multi-Objective Optimization for the Capacity of A Fixed Battery in A Smart House

Abstract

A smart house generally uses a photovoltaic(PV) generator system, a solar collector (SC), a heat pump (HP), and a fixed battery. Since the fixed battery can effectively utilize cheap electricity during the night time, the electricity bill of the consumer in a smart house can be reduced. A fixed battery with a large storage capacity further reduces the electricity bill. However, a larger capacity fixed battery is very costly. Therefore,in order to moreeffectivelyreduce the electricity bill, an electric consumerin a smarthouse needs to determine the storage capacity of the fixed battery considering feasible regulation. With this in mind, this paper proposes and a multiobjective optimization problem for electric demand control and feasible regulation in the smart house. In this optimal problem, the pareto optimal solutions are obtained from each simulation case using a fixed battery introduced into the smart house. The simulation results offer an effective operational method of controllable loads and an acceptable capacity for the fixed battery for the consumer in the smart house.