Real-time PEV charging/discharging coordination in smart distribution systems

Mostafa F. Shaaban; Muhammad Ismail; Ehab F. El-Saadany; Weihua Zhuang

doi:10.1109/TSG.2014.2311457

Real-time PEV charging/discharging coordination in smart distribution systems

Mostafa F. Shaaban, Muhammad Ismail, Ehab F. El-Saadany, Weihua Zhuang

Electrical Engineering

University of Waterloo

Research output: Contribution to journal › Article › peer-review

128 Scopus citations

Abstract

This paper proposes a novel online coordination method for the charging of plug-in electric vehicles (PEVs) in smart distribution networks. The goal of the proposed method is to optimally charge the PEVs in order to maximize the PEV owners' satisfaction and to minimize system operating costs without violating power system constraints. Unlike the solutions reported in the literature, the proposed charging architecture guarantees the feasibility of the charging decisions by means of a novel prediction unit that can forecast future PEVs power demand and through an innovative two-stage optimization unit that ensures effective charging coordination. Coordinated PEV discharging also enables improved utilization of power system resources. Simulation results for a typical distribution network are provided as a demonstration of the effectiveness of the proposed architecture.

Original language	British English
Article number	6839071
Pages (from-to)	1797-1807
Number of pages	11
Journal	IEEE Transactions on Smart Grid
Volume	5
Issue number	4
DOIs	https://doi.org/10.1109/TSG.2014.2311457
State	Published - Jul 2014

Keywords

distribution systems
electric vehicle
energy management
M/G/∞ queue
smart parking lot

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TSG.2014.2311457

Cite this

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title = "Real-time PEV charging/discharging coordination in smart distribution systems",

abstract = "This paper proposes a novel online coordination method for the charging of plug-in electric vehicles (PEVs) in smart distribution networks. The goal of the proposed method is to optimally charge the PEVs in order to maximize the PEV owners' satisfaction and to minimize system operating costs without violating power system constraints. Unlike the solutions reported in the literature, the proposed charging architecture guarantees the feasibility of the charging decisions by means of a novel prediction unit that can forecast future PEVs power demand and through an innovative two-stage optimization unit that ensures effective charging coordination. Coordinated PEV discharging also enables improved utilization of power system resources. Simulation results for a typical distribution network are provided as a demonstration of the effectiveness of the proposed architecture.",

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AU - Shaaban, Mostafa F.

AU - Ismail, Muhammad

AU - El-Saadany, Ehab F.

AU - Zhuang, Weihua

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N2 - This paper proposes a novel online coordination method for the charging of plug-in electric vehicles (PEVs) in smart distribution networks. The goal of the proposed method is to optimally charge the PEVs in order to maximize the PEV owners' satisfaction and to minimize system operating costs without violating power system constraints. Unlike the solutions reported in the literature, the proposed charging architecture guarantees the feasibility of the charging decisions by means of a novel prediction unit that can forecast future PEVs power demand and through an innovative two-stage optimization unit that ensures effective charging coordination. Coordinated PEV discharging also enables improved utilization of power system resources. Simulation results for a typical distribution network are provided as a demonstration of the effectiveness of the proposed architecture.

AB - This paper proposes a novel online coordination method for the charging of plug-in electric vehicles (PEVs) in smart distribution networks. The goal of the proposed method is to optimally charge the PEVs in order to maximize the PEV owners' satisfaction and to minimize system operating costs without violating power system constraints. Unlike the solutions reported in the literature, the proposed charging architecture guarantees the feasibility of the charging decisions by means of a novel prediction unit that can forecast future PEVs power demand and through an innovative two-stage optimization unit that ensures effective charging coordination. Coordinated PEV discharging also enables improved utilization of power system resources. Simulation results for a typical distribution network are provided as a demonstration of the effectiveness of the proposed architecture.

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KW - electric vehicle

KW - energy management

KW - M/G/∞ queue

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Real-time PEV charging/discharging coordination in smart distribution systems

Abstract

Keywords

UN SDGs

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