Dynamic Charging Scheduling for EV Parking Lots With Photovoltaic Power System | Zendy

Yongmin Zhang | Zendy; Lin Cai | Zendy

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Dynamic Charging Scheduling for EV Parking Lots With Photovoltaic Power System

Author(s) -

Yongmin Zhang,

Lin Cai

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2873286

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper studies the optimal charging scheduling for electric vehicles (EVs) in a workplace parking lot, powered by both the photovoltaic power system and the power grid. Due to the uncertainty and fluctuation of solar energy and the time-varying EV charging requirements, it is challenging to guarantee the economic operation of the parking lot charging station. To address this issue, we formulate the EV charging scheduling in the parking lot as a benefit maximization problem. First, by analyzing the relationship among the EV charging requirements, the charging load, and the harvested solar energy, we derive several necessary conditions for obtaining an optimal decision, such that the primal optimization problem can be simplified. Then, we design a dynamic charging scheduling scheme (DCSS) to manage the EV charging processes, in which the model predictive control method is employed to deal with the real-time information of EV charging requirements and the solar energy. Simulation results demonstrate the effectiveness and efficiency of the designed DCSS.

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