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A comprehensive review of demand-side management in smart grid operation with electric vehicles

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Abstract

Demand-side management of smart grid with electric vehicles (EVs) is overviewed in this review paper. The major objective of the work is to reduce the hourly peak load to obtain a steady load schedule, maximize user satisfaction and reduce cost. This review allows for the probability of leveling the everyday energy load arc and unstable demand response to hourly prices from one time period to another. To obtain a balanced everyday load schedule, increase user satisfaction, and cut costs, the main aim is to reduce peak hourly load. A management system for an EV connected to the national grid for a future household with controllable electric loads. The approach that has been presented enables the integration of EVs and renewable resources while also optimizing the demand and generation in hourly distribution. The agents are taken into account for managing load, storage, and generation; specifically, they are EV aggregators. The vehicle-to-grid (V2G) combination of electric vehicles is a key aspect of this study; with this capability, EVs may offer power grid-specific services like load shifting and congestion management. By maximizing the hourly distribution of demand as well as generation, accounting for technical limitations, and enabling the addition of EVs and RES.

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  1. Department of Electrical Engineering, Government Polytechnic Aurangabad, Aurangabad, Maharashtra, India

    Satish Jagannath Ghorpade

  2. Department of Electrical Engineering, Government College of Engineering Amaravati, Amaravati, Maharashtra, India

    Rajesh B. Sharma

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Satish Jagannath Ghorpade is the corresponding author and contributed to conceptualization, methodology, writing—original draft preparation. Rajesh B. Sharma contributed to supervision.

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Ghorpade, S.J., Sharma, R.B. A comprehensive review of demand-side management in smart grid operation with electric vehicles. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02330-x

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