Stochastic planning of fast charging stations using a coevolutionary algorithm

Document Type : Original Article

Authors

Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran

Abstract

In recent years, electric vehicles have attracted significant attention. For proper use of electric vehicles, determining the location and size of charging stations is essential. In this paper, the problem of fast charging station planning is modeled as a mixed integer nonlinear programming (MINLP). In the proposed method, network reconfiguration possibility is considered. In addition, for the installation planning of fast charging stations, the uncertainties associated with the conventional load level, the charging stations load level and the price of energy are considered. In the proposed method, a scenario-based approach is used to consider the above-mentioned uncertainties. In addition, network reconfiguration is considered as a tool to optimize the objective functions of distribution company. Finally, the efficiency of the proposed method is demonstrated by numerical results.

Keywords

References

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 50, Issue 3 - Serial Number 93
November 2020
Pages 1123-1135

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