Abstract
Electric vehicles (EVs) have a lot of potential to play an essential role in the smart power grid. EVs not only can reduce the amount of emission yielded from fossil fuels but also can be considered as an energy storage system (ES) and a backup system. EVs could support the demand response (DR) strategy that is considered as utmost importance to shift electricity demand in peak hours. This article aims to assess the impact of the presence of EV on DR strategy in a home-microgrid (H-MG). In order to reach the optimal set point, our energy management system (EMS) has been merged with differential evolution (DE) method. The results were auspicious and showed that the proposed method could decrease market clearing price (MCP) by 26% and increase the performance of DR by 17%.
Highlights
One of the biggest advantages of smart grid (SG) is the energy distributed in the consumption location, which provides flexibility to the energy demand response
The generated power in the Home microgrid (H-MG) is supplied to the consumers, if the amount of the power demand is more than the generated power, the rest of the required power could be bought from the main grid
The research in this paper considers the use of Electric Vehicles (EVs) depending on their presence at home
Summary
One of the biggest advantages of smart grid (SG) is the energy distributed in the consumption location, which provides flexibility to the energy demand response. One of the major power girds that adopts this strategy is the Home microgrid (H-MG) This SG has a significant role in reducing pollution besides supporting load demand supply, during peak consumption periods [1]. H-MG buys electricity during peak hours from the grid whereas during non-peak hours, H-MG sells its excess power to the grid. The use of ES in supplying the energy required by H-MGs during load peak hours and non-peak hours prevents the demand for expensive generator activity. This result will have a better impact on the environment as pollution caused by generators can be prevented
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