Model for Managing the Integration of a Vehicle-to-Home Unit into an Intelligent Home Energy Management System

Abstract

Integration of vehicle-to-home (V2H) centralized photovoltaic (HCPV) systems is a requested and potentially fruitful research topic for both industry and academia. Renewable energy sources, such as wind turbines and solar photovoltaic panels, alleviate energy deficits. Furthermore, energy storage technologies, such as batteries, thermal, and electric vehicles, are indispensable. Consequently, in this article, we examine the impact of solar photovoltaic (SPV), microgrid (MG) storage, and an electric vehicle (EV) on maximum sun radiation hours. As a result, an HCPV scheduling algorithm is developed and applied to maximize energy sustainability in a smart home (SH). The suggested algorithm can manage energy demand between the MG and SPV systems, as well as the EV as a mobile storage system. The model is based on several limitations to meet households’ electrical needs during sunny and cloudy weather. A multi-agent system (MAS) is undertaken to ensure proper system operation and meet the power requirements of various devices. An experimental database for weather and appliances is deployed to evaluate and control energy consumption and production cost parameters. The obtained results illustrate the benefits of V2H technology as a prospective unit storage solution.

The Internet of Things for the Intelligent Management of the Heating of a Swimming Pool by Means of Smart Sensors

“…Several works have been developed to search for intelligent energy management applications in domestic and industrial environments [25]. In addition, there are systems that allow the integration of vehicle recharging in the domestic sector by performing a management of the recharging process [26]. These developments cover a wide range of applications, for example, from the use of techniques to estimate the energy consumption of the house according to different characteristics (seeking to optimize the energy demand in a home [27,28]) up to management of irrigation water consumption with smart systems [29].…”

An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems

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Bidirectional Charging (Vehicle-to-Home) in Home Energy Management Systems: Exploring Potentials with a Simulation Tool

“…This also excludes smart charging, e.g. through multi-agent systems for V2H applications in HEMS, as [10] has investigated. The developed tool will be used to simulate a single-family household with average consumption and electrical system components for a modern house, such as a heat pump and an electric vehicle.…”