Plug-in electric vehicle load modeling for charging scheduling strategies in microgrids

Date

2022-12-01

Author

Güzel, Saliha İven
Göl, Murat

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Utilization of plug-in electric vehicle (PEV) load models can improve the performance of smart charging strategies, which increase the reliability of the grid by harnessing the flexibility of PEV loads. This paper presents a method for utilizing personal PEV load models in real-time stochastic charging control with single and finite system-time horizons. First, the drivers' load models are found with Kernel Density Estimation (KDE). Second, a single system-time horizon coordinated charging control algorithm is devised to ensure each PEV is charged at least a critical amount given a feasible set of optimization constraints. The coordinated charging algorithm tackles the NP-hardness of single-deadline charging scheduling problems efficiently with a sorting algorithm utilizing the stochastic PEV load models. Third, we extend the single system-time horizon coordinated charging control algorithm to a scheduling algorithm considering a finite system-time horizon. This approach utilizes the stochastic PEV load models in a model predictive control based approach to decrease the complexity of stochastic online charging scheduling problem into a deterministic case. The scheduling algorithm makes assumptions about the future arrivals to the charging station, unlike the classical online EV charging scheduling algorithms, which optimize the load demand revealed at the current time but underestimate the load demand revealed in the future. Our findings suggest the individual load models complement smart charging algorithms' decision process by improving the fairness of charging time allocation and extending the degree of knowledge of future random data for the scheduling algorithm.

Subject Keywords

Plug-in electric vehicles, Load modeling, Kernel Density Estimation, Smart charging, EV charging scheduling, NETWORKS

URI

https://hdl.handle.net/11511/99121

Journal

SUSTAINABLE ENERGY GRIDS & NETWORKS

DOI

https://doi.org/10.1016/j.segan.2022.100819

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

S. İ. Güzel and M. Göl, “Plug-in electric vehicle load modeling for charging scheduling strategies in microgrids,” SUSTAINABLE ENERGY GRIDS & NETWORKS, vol. 32, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99121.