4.6 Article

PV-EV integrated home energy management using vehicle-to-home (V2H) technology and household occupant behaviors

Journal

ENERGY STRATEGY REVIEWS
Volume 44, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.esr.2022.101001

Keywords

Home energy management system; Vehicle -to- home; Reliability; Trading; Bidirectional electric vehicles

Categories

Funding

  1. Ministry of education
  2. king Abdelaziz university, DSR, Jeddah, Saudi Arabia
  3. [IFPRI -066-611-2020]

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The Vehicle-to-Home (V2H) technology is considered a promising research field for addressing energy consumption and demand in smart households. The use of Home Energy Management System (HEMS) and Home Centralized Photovoltaic (HOCP) System can optimize appliance utilization and reduce energy demand.
The Vehicle-to-Home (V2H) topic is considered a promising and potential field of research due to its ability to address a variety of issues related to smart household electricity consumption and consumer energy demand. Therefore, as the population grows and their habits change, so does the need for domestic energy. Consequently, the provision of electricity poses increasingly difficult problems. To this end, the Home Energy Management System (HEMS) is being implemented to avoid similar problems. To maximize the utilization of various home appliances under energy demand and a predetermined timetable, we propose a precise Home Centralized Photovoltaic (HOCP) System, which includes V2H technology, Solar Photovoltaic (SPV), and a Green Electric Vehicle (GEV). The suggested design is aimed at reducing residential energy demand by providing for optimal automation of appliances. The recommended HOCP design will cover household electricity demand under sunny and rainy conditions without requiring additional electricity. On the other hand, the combination of electricity transmission SPV and V2H is sufficient to meet the demand for residential load in cloudy and sunny conditions. In this vein, HEMS with various constraints is implemented to perform proper system operations and satisfy load demand. The proposed algorithm attempts to characterize and perceive the situation of sources through the use of energy demand. The results show that H2V in combination with a renewable energy source can effectively reduce energy use and future residential applications during peak periods.

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