Leveraging Electric Vehicles for Sustainable Energy Management in Smart Homes: A Communication-Centric Approach

Subject Areas : Multimedia Processing, Communications Systems, Intelligent Systems

Mahsa Maleki-Jeyed ¹ , Mani Zarei ² , Seyed Mahdi Jameii ³

1 - MSc Student, Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran.
2 - Assistant Professor, Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
3 - Assistant Professor, Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

Received: 2024-08-01 Accepted : 2024-09-14 Published : 2024-12-27

Keywords: Electric vehicle, Renewable resource, Smart home, Time-dependent variable tariff,

Abstract :

Abstract Introduction: The optimal and environmentally friendly generation of electricity is a critical challenge for modern society. Traditional methods rely solely on fossil fuels for residential power generation, leading to increased greenhouse gas emissions. This paper proposes a cost-effective approach for supplying electricity to smart homes, considering the initial charge level of the storage source and the impact of its availability on energy source pricing, including the power grid and renewable options. Method:  In this article a linear analytical model with boundary constraints and mixed-integer optimization variables is developed using the YALMIP toolbox in MATLAB. This model analyzes cost-effective electricity supply methods for smart homes. Results: The results demonstrate that electric vehicles (EVs) can play a significant role in cost reduction when employed for energy buy-back under time-of-use tariffs. Simulations considering Iran's time-based electricity pricing structure reveal a 29.3% reduction in electricity costs when EVs are utilized for buying electricity during off-peak hours and supplying power during peak hours using vehicle-to-home (V2H) technology. Discussion: Two case studies validate the effectiveness of the proposed model. The impact of renewable energy sources, grid electricity, storage batteries, and EVs on overall cost is evaluated under scenarios with and without mandatory renewable energy usage.

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