Optimal control study of home energy management with cooperative dispatch of electric vehicles and energy storage devices

Abstract

In order to solve the problem that the charging and discharging characteristics of electric vehicles (EVs) are not fully utilized by household users with distributed photovoltaic (DPV), which leads to low photovoltaic utilization efficiency and poor household electricity cost and economy, this paper proposes an optimal control strategy for household energy management based on cooperative scheduling of EVs and energy storage devices. In this paper, we firstly classify the household electric devices based on the load characteristics, and then formulate the control strategies of electric vehicles and energy storage devices based on the relationship between the total load power and the PV output, and propose the objectives of household side, environment and grid side based on this, and solve the multi-objective problem by using the improved gray wolf optimization (GWO) algorithm based on Tent mapping chaos optimization. The​ effectiveness of the model and algorithm is verified by simulating and analyzing a household customer under real-time electricity price. The results show that the system operating conditions can be improved to achieve the expected goals of minimizing household electricity cost and maximizing PV consumption under the conditions of energy management optimal control.