Optimal charging of electric vehicles considering constraints of the medium voltage distribution network

The scope of this work is to optimize the charging of electric vehicles (EVs) in a controlled environment. The method uses a linear optimization technique, which determines the electrical power that will be delivered to each EV considering as constraints the operating levels of the medium voltage distribution network. The proposed method was tested using the IEEE 34 bus distribution test system considering a level of penetration of EVs of 15%. The results show that, using the optimization process, it is possible to attend the demand of all considered PHEVs without violating any constraints.

[1]  Kevin Morrow,et al.  Plug-in Hybrid Electric Vehicle Charging Infrastructure Review , 2008 .

[2]  Manuel Davy,et al.  Support vector-based online detection of abrupt changes , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[3]  Manuel Davy,et al.  An online kernel change detection algorithm , 2005, IEEE Transactions on Signal Processing.

[4]  A. Padilha-Feltrin,et al.  A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles , 2012, PES T&D 2012.

[5]  David M. J. Tax,et al.  One-class classification , 2001 .

[6]  Saman Babaei,et al.  Effects of Plug-in Electric Vehicles on distribution systems: A real case of Gothenburg , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[7]  Luis Fernando Ochoa Pizzali.  DESEMPENHO DEREDES DE DISTRIBUIÇÃO COM GERADORES DISTRIBUÍDOS , 2006 .

[8]  Filipe Joel Soares,et al.  Advanced Metering Infrastructure functionalities for electric mobility , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[9]  J. Ma,et al.  Time-series novelty detection using one-class support vector machines , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[10]  Yue Yuan,et al.  Modeling of Load Demand Due to EV Battery Charging in Distribution Systems , 2011, IEEE Transactions on Power Systems.

[11]  Paul D. H. Hines,et al.  Estimating the acceleration of transformer aging due to electric vehicle charging , 2011, 2011 IEEE Power and Energy Society General Meeting.

[12]  F. J. Soares,et al.  Identifying management procedures to deal with connection of Electric Vehicles in the grid , 2009, 2009 IEEE Bucharest PowerTech.

[13]  Robert P. W. Duin,et al.  Uniform Object Generation for Optimizing One-class Classifiers , 2002, J. Mach. Learn. Res..

[14]  A. Keane,et al.  Optimal Charging of Electric Vehicles in Low-Voltage Distribution Systems , 2012, IEEE Transactions on Power Systems.

[15]  D. Shirmohammadi,et al.  A compensation-based power flow method for weakly meshed distribution and transmission networks , 1988 .

[16]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[17]  Andre E. Lazzaretti,et al.  Classification of Events in Distribution Networks using Autonomous Neural Models , 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.

[18]  Ian A. Hiskens,et al.  Incentive-based coordinated charging control of plug-in electric vehicles at the distribution-transformer level , 2012, 2012 American Control Conference (ACC).

[19]  Jonn Axsen,et al.  Batteries for Plug-in Hybrid Electric Vehicles (PHEVs): Goals and the State of Technology circa 2008 , 2008 .