Interaction of consumers, photovoltaic systems and electric vehicle energy demand in a Reference Network Model

The electrification of the transport sector is one of the most promising solutions to mitigate the dependency from fossil fuels. At the distribution level, an uncoordinated management of electric vehicles (EVs) added to the high shares of intermittent RES could hinder security of supply and hide related economic benefits. To cope with these challenges, smart charging strategies and Vehicle-to-Grid (V2G) services are required. The aim of this paper is to identify successful EVs charging/discharging strategies to balance residential PV electricity production in a representative distribution network context. The results illustrate that well-defined schemes can lead to several grid benefits: better control over supply-demand imbalances, contained impact on voltage spread, reduction of high peak and extreme ramp-up. These results refer to the technical side, and may be used in combination with energy price information to provide new hints on how to design effective electric vehicles' tariffs.

[1]  Peter Wolfs,et al.  A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures , 2016 .

[2]  Distribution System Operators observatory 2018 Overview of the electricity distribution system in Europe , 2022 .

[3]  Wolf-Gerrit Fruh,et al.  Simulation of demand management and grid balancing with electric vehicles , 2012 .

[4]  Mohamed A. El-Sharkawi,et al.  Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services , 2012, IEEE Transactions on Smart Grid.

[5]  Fulli Gianluca,et al.  DISTRIBUTION SYSTEM OPERATORS OBSERVATORY: From European Electricity Distribution Systems to Representative Distribution Networks , 2016 .

[6]  Marc Petit,et al.  Missing Money for EVs: Economics Impacts of TSO Market Designs , 2014 .

[7]  Pablo Frías,et al.  Impact of vehicle-to-grid on power system operation costs: The Spanish case study , 2012 .

[8]  Rafael Cossent,et al.  Reference Network Models: A Computational Tool for Planning and Designing Large-Scale Smart Electricity Distribution Grids , 2013 .

[9]  Harald Scholz,et al.  Assessment of the potential of electric vehicles and charging strategies to meet urban mobility requirements , 2015 .

[10]  Luis F. Ochoa,et al.  Deliverable 3.7 "Characterisation of LV networks" , 2014 .

[11]  Michele De Gennaro,et al.  A pilot study to address the travel behaviour and the usability of electric vehicles in two Italian provinces , 2014 .

[12]  Manuel Wickert,et al.  Offer of secondary reserve with a pool of electric vehicles on the German market , 2013 .

[13]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[14]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[15]  Jay F. Whitacre,et al.  The economics of using plug-in hybrid electric vehicle battery packs for grid storage , 2010 .

[16]  W.G.J.H.M. van Sark,et al.  Provision of regulating - and reserve power by electric vehicle owners in the Dutch market , 2017 .