Abstract

The high penetration of electric vehicles (EVs) will increase burden of a power grid. However, the expansion of capacity of distribution facilities is not always possible, especially in some old residential community. This paper proposes to use an optimal charging strategy of EVs with additional battery energy storage (BES) to improve the charging capabilities in a residential community. By modeling the EV charging behavior, the required charging capacity is evaluated using Monte Carlo method and the BES size is determined as the difference between the required capacity and the distribution capacity. An optimal charging strategy is then proposed to reduce the charging cost and ensure the safe running of distribution network.

Highlights

  • In the context of climate change, most countries’ government has come to agreement on taking measures to mitigate the process of global warming and passed the Paris Agreement

  • This shows battery energy storage (BES) has more scheduling flexibility comparing to scheduling of electrical vehicles (EVs) charging

  • It should be pointed out when the load level of a residential area is high, the scheduling of EV charging is to reduce the charging cost

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Summary

Introduction

In the context of climate change, most countries’ government has come to agreement on taking measures to mitigate the process of global warming and passed the Paris Agreement. Charging station related topics in the variety of fields such as integration of BES, PV or both [1], optimal sizing of integrated BES [2], PV or both [3], application of energy management strategy(EMS) with BES [4], PV or both [5], and collaborative planning considering distribution network [6] etc. [15] proposed a model to optimize the size of both BES and PV in a fast charging station, but no control on BES. Mirhoseini and Ghaffarzade [16], investigates the optimal battery sizing in a scenario that charging station is integrated with PV and BES, and with demand side management (DSM) strategy implemented on the attached building and V2G and V2B (vehicle-to-building) technology applied. After determining BES, a strategy of charging with BES is used to obtain schedule

EV charging demands
Load fluctuation
EV charging cost
BES sizing
Optimal EV charging with BES
Study setup
BES sizing results
Results of optimal charging with BES
Conclusion
Full Text
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