Impact of Electric Vehicles integration on residential demand response system to peak load minimizing in smart grid
Siwar Khemakhem, Mouna Rekik, Lotfi Krıchen
Abstract
Siwar Khemakhem, Mouna Rekik, Lotfi Krıchen
Abstract
Recently, the concept of smart grid is developed in the future power system and attracted attention worldwide. With the appearance of plug-in electric vehicles (PEVs) technologies, demand response programs are potential topics in residential applications. This paper investigates the contribution of PEVs in demand response for smart households' application. In this context, a “PEV contribution for residential demand response strategy” is developed. This algorithm is proposed to decrease the peak demand ensuring a flattened demand profile. The main contribution of this study is to employ suitable scheduling scheme by shifting schedulable appliances from peak to off-peak hours. This strategy aims to highlight furthermore the impact of PEV integration in demand response by determining the required PEV power to be absorbed during the off-peak periods (home-to-vehicle technology) or injected during peak hours (vehicle-to-home technology) in case of lack or excess in power consumption, respectively. Simulation results demonstrate the effectiveness of the proposed control algorithm to fulfill a smooth power curve.
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Recently, the concept of smart grid is developed in the future power system and attracted attention worldwide. With the appearance of plug-in electric vehicles (PEVs) technologies, demand response programs are potential topics in residential applications. This paper investigates the contribution of PEVs in demand response for smart households' application. In this context, a “PEV contribution for residential demand response strategy” is developed. This algorithm is proposed to decrease the peak demand ensuring a flattened demand profile. The main contribution of this study is to employ suitable scheduling scheme by shifting schedulable appliances from peak to off-peak hours. This strategy aims to highlight furthermore the impact of PEV integration in demand response by determining the required PEV power to be absorbed during the off-peak periods (home-to-vehicle technology) or injected during peak hours (vehicle-to-home technology) in case of lack or excess in power consumption, respectively. Simulation results demonstrate the effectiveness of the proposed control algorithm to fulfill a smooth power curve.
Key concepts: Demand response, Smart grid, Peak demand, Context (archaeology), Power demand, Computer science, Grid, Electric power system