Mitigating renewable Energy Generation uncertainty by Deadline Differentiated Pricing

Electric vehicles are an important option to enable sustainable individual mobility. In order to leverage this potential, electricity for charging of electric vehicles needs to be provided by local renewable energy sources. Information systems can enable an efficient coordination of demand and supply in this setting. Forecast errors regarding energy generation from these sources are common but can be addressed by temporal flexibility of electric vehicle charging. We use a pricing scheme called deadline differentiated pricing that incentivizes customers to accept job shifting of their charging processes. This approach is applied on a specific use case: A city car park offers charging spots for electric vehicles that is supplied by both a local photovoltaic system and conventionally from the grid. We evaluate the impact of energy generation forecast errors on operator profits based on the formulation of a stochastic mixed-integer optimization problem and empirical mobility and generation data. We show that deadline differentiated pricing is resilient to inaccurate forecasts for photovoltaic energy generation. Deadline differentiated pricing increases profits in all investigated scenarios by at least 8% as compared to a simple pricing approach. Additionally, it can increase the share of charging demand covered by renewable energy by up to 17%.

[1]  Hartmut Schmeck,et al.  Economic Evaluation of Local Photovoltaic Generation in Electric Vehicle Car Parks , 2014 .

[2]  D. Kirschen,et al.  Quantifying the Effect of Demand Response on Electricity Markets , 2007, IEEE Transactions on Power Systems.

[3]  Eilyan Bitar,et al.  Deadline differentiated pricing of deferrable electric power service , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[4]  Donald J. Berndt,et al.  Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.

[5]  Clemens van Dinther,et al.  Demand Response in Smart Grids: Research Opportunities for the IS Discipline , 2012, AMCIS.

[6]  Eilyan Bitar,et al.  On incentive compatibility of deadline differentiated pricing for deferrable demand , 2013, 52nd IEEE Conference on Decision and Control.

[7]  Christof Weinhardt,et al.  Decision Support for Electric Vehicle Charging , 2012, AMCIS.

[8]  Nilay Shah,et al.  Effects of optimised plug-in hybrid vehicle charging strategies on electric distribution network losses , 2010, IEEE PES T&D 2010.

[9]  Christoph M. Flath,et al.  Deadline differentiated pricing in practice: marketing EV charging in car parks , 2014, Computer Science - Research and Development.

[10]  Christoph M. Flath,et al.  Impact of electric vehicles on distribution substations: A Swiss case study , 2015 .

[11]  Dirk Neumann,et al.  Smart City Planning - Developing an Urban Charging Infrastructure for Electric Vehicles , 2014, ECIS.

[12]  H. Helms,et al.  Electric vehicle and plug-in hybrid energy efficiency and life cycle emissions , 2010 .

[13]  Alexander Schuller,et al.  Charging Coordination Paradigms of Electric Vehicles , 2015 .

[14]  Guillermo Sanchez,et al.  Optimal electric vehicles consumption management at parking garages , 2011, 2011 IEEE Trondheim PowerTech.

[15]  Robert C. Green,et al.  The impact of plug-in hybrid electric vehicles on distribution networks: a review and outlook , 2010, PES 2010.

[16]  Lang Tong,et al.  Optimizing Operations for Large Scale Charging of Electric Vehicles , 2013, 2013 46th Hawaii International Conference on System Sciences.

[17]  Dirk Neumann,et al.  Beyond Mobility - An Energy Informatics Business Model For Vehicles In The Electric Age , 2013, ECIS.

[18]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[19]  Björn Hildebrandt,et al.  Applying Demand Response Programs for Electric Vehicle Fleets , 2015, AMCIS.

[20]  David B. Richardson,et al.  Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration , 2013 .

[21]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .