Scheduling and Stochastic Capacity Estimation of an EV Charging Station with PV Rooftop Using Queuing Theory and Random Forest

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Varshosaz Farshid; MOAZZAMI MAJID; FANI BAHADOR

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Paper Information

Journal: JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS Year:2019 | Volume:16 | Issue:1 Page(s): 31-39

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Title

Scheduling and Stochastic Capacity Estimation of an EV Charging Station with PV Rooftop Using Queuing Theory and Random Forest

Author(s)

Varshosaz Farshid | MOAZZAMI MAJID | FANI BAHADOR | Issue Writer Certificate

Keywords

Charging stationQ1

PV arrayQ1

distribution gridQ1

service timeQ1

queuing theoryQ1

finite source queue modelQ1

finite capacity queue modelQ1

random forestQ1

Abstract

Power capacity of EV Charging stations could be increased by installing PV arrays on their rooftops. In these Charging stations, power transmission can be two-sided when needed. In this paper a new method based on queuing theory and random forest algorithm proposed to calculate net power of Charging station considering random SOC of EV’ s. Due to estimation time constraints, a queuing model with limited input and capacity used to model arrival and departure of EV’ and a relationship proportional to SOC of EV’ s in which they arrive to the Charging station has been suggested. To demonstrate impact of photovoltaic rooftop, a model based on random forest suggested for estimation of maximum output power of PV array. In simulation process, charge and discharge operations for Nissan and Tesla EV’ s is done by writing a priority list and real efficiency of charger/inverter in AC level II operation conditions. Simulation results show that proposed method is a precise and efficient model for scheduling and capacity estimation of V2G parking lots with PV rooftop.

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APA: Copy

Varshosaz, Farshid, MOAZZAMI, MAJID, & FANI, BAHADOR. (2019). Scheduling and Stochastic Capacity Estimation of an EV Charging Station with PV Rooftop Using Queuing Theory and Random Forest. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, 16(1 ), 31-39. SID. https://sid.ir/paper/115697/en

Vancouver: Copy

Varshosaz Farshid, MOAZZAMI MAJID, FANI BAHADOR. Scheduling and Stochastic Capacity Estimation of an EV Charging Station with PV Rooftop Using Queuing Theory and Random Forest. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS[Internet]. 2019;16(1 ):31-39. Available from: https://sid.ir/paper/115697/en

IEEE: Copy

Farshid Varshosaz, MAJID MOAZZAMI, and BAHADOR FANI, “Scheduling and Stochastic Capacity Estimation of an EV Charging Station with PV Rooftop Using Queuing Theory and Random Forest,” JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, vol. 16, no. 1 , pp. 31–39, 2019, [Online]. Available: https://sid.ir/paper/115697/en

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