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**Harvard**

Rahimi, S., Zhu, K., Massucco, S., Silvestro, F. och Steen, D. (2014) *Using the advanced DMS functions to handle the impact of plug-in Electric vehicles on distribution networks*.

** BibTeX **

@conference{

Rahimi2014,

author={Rahimi, S. and Zhu, K. and Massucco, S. and Silvestro, F. and Steen, David},

title={Using the advanced DMS functions to handle the impact of plug-in Electric vehicles on distribution networks},

booktitle={2014 IEEE International Electric Vehicle Conference, IEVC 2014},

isbn={978-147996075-0},

abstract={Integration of Electric vehicles and their impact on power system have been a major topic within smart grid initiatives. It is proven that managing larger amount of loads in form of plug-in Electric vehicles (PEV) is a challenge for operation of low and medium voltage distribution network. The main objective of this paper is to discuss the usage of 'Integrated Volt/Var Optimization' function (which is one of main advanced distribution management system (DMS) functions) for handling the larger share of PEV load and reducing their impact on operation of Distribution System (DS). For this purpose, we propose a method for evaluating the impact of PEV charging on steady state operating condition of DS and identifying its possible capacity limitations in case of significant penetration of PEVs. We have applied a stochastic modeling for base EV load and have examined several different scenarios based on charging power and penetration level of PEVs to compare uncontrolled charging with base operation conditions. By presenting the results from our developed Volt/Var Optimization (VVO) engine, it is concluded that DMS functions can support handling of these new operating conditions for DSOs. A real distribution network in south western part of Sweden is used as test system for this study while a set of realistic load profile has been created based on real driving pattern (using the results of national survey from Swedish traffic authority) and actual base load for one year. In this work, the VVO function have been implemented in General Algebraic Modeling System (GAMS) by using a single mixed integer linear programming (MILP) model for the volt-var problem. The results of optimization are system loss and voltage profile along the network in comparison with 'base-case' solution.},

year={2014},

keywords={Distribution systems , Electric vehicle , Energy management , Mixed Integer Linear Programming (MILP) , Plug-in hybrid , Smart Grid , Volt/Var Optimization (VVO)},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 219919

A1 Rahimi, S.

A1 Zhu, K.

A1 Massucco, S.

A1 Silvestro, F.

A1 Steen, David

T1 Using the advanced DMS functions to handle the impact of plug-in Electric vehicles on distribution networks

YR 2014

T2 2014 IEEE International Electric Vehicle Conference, IEVC 2014

SN 978-147996075-0

AB Integration of Electric vehicles and their impact on power system have been a major topic within smart grid initiatives. It is proven that managing larger amount of loads in form of plug-in Electric vehicles (PEV) is a challenge for operation of low and medium voltage distribution network. The main objective of this paper is to discuss the usage of 'Integrated Volt/Var Optimization' function (which is one of main advanced distribution management system (DMS) functions) for handling the larger share of PEV load and reducing their impact on operation of Distribution System (DS). For this purpose, we propose a method for evaluating the impact of PEV charging on steady state operating condition of DS and identifying its possible capacity limitations in case of significant penetration of PEVs. We have applied a stochastic modeling for base EV load and have examined several different scenarios based on charging power and penetration level of PEVs to compare uncontrolled charging with base operation conditions. By presenting the results from our developed Volt/Var Optimization (VVO) engine, it is concluded that DMS functions can support handling of these new operating conditions for DSOs. A real distribution network in south western part of Sweden is used as test system for this study while a set of realistic load profile has been created based on real driving pattern (using the results of national survey from Swedish traffic authority) and actual base load for one year. In this work, the VVO function have been implemented in General Algebraic Modeling System (GAMS) by using a single mixed integer linear programming (MILP) model for the volt-var problem. The results of optimization are system loss and voltage profile along the network in comparison with 'base-case' solution.

LA eng

DO 10.1109/IEVC.2014.7056127

LK http://dx.doi.org/10.1109/IEVC.2014.7056127

OL 30