A proactive operation strategy of electric vehicle charging-discharging in Photovoltaic micro-grid

High penetration of photovoltaic (PV) generation in micro-grid may cause additional challenges for grid control. When clouds are moving over PV panels, it will result in a significant voltage drop. Aimed at this case, electric vehicle (EV) can be a strategic source to mitigate the effects of voltage...

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Bibliographic Details
Main Authors: Zhuang Yang, Bin Duan, Mingjie Chen, Zhiyong Zhu
Format: Conference Proceeding
Language:English
Subjects:
electric vehicle
Markov decision process
Markov processes
photovoltaic micro-grid
proactively
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Summary:High penetration of photovoltaic (PV) generation in micro-grid may cause additional challenges for grid control. When clouds are moving over PV panels, it will result in a significant voltage drop. Aimed at this case, electric vehicle (EV) can be a strategic source to mitigate the effects of voltage drop on account of the fluctuating cloud cover in PV micro-grid. This paper proposes a new methodology to determine the optimal EV charging-discharging strategy based on the uncertainty of voltage drop. Moreover, the optimal policy is obtained by Markov Decision Process model, with the aim of maximizing power quality benefits. The control strategy of EV is raised to help the PV micro-grid react the external changes and future events proactively.
ISSN:2472-8152
DOI:10.1109/ISGT.2016.7781172