Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration

This paper presents a three-phase loss allocation procedure for distribution networks. The key contribution of the paper is the computation of specific marginal loss coefficients (MLCs) per bus and per phase expressly considering non-linear load models for Electric Vehicles (EV). The method was applied in a unbalanced 12.47 kV feeder with 12,780 households and 1000 EVs under peak and off-peak load conditions. Results obtained were also compared with the traditional roll-in embedded allocation procedure (pro rata) using non-linear and standard constant power models. Results show the influence of the non-linear load model in the energy losses allocated. This result highlights the importance of considering an appropriate EV load model to appraise the overall losses encouraging the use and further development of the methodology

[1]  Fabrizio Pilo,et al.  Multi-agent control system for increasing hosting capacity in active distribution networks with EV , 2014, 2014 IEEE International Energy Conference (ENERGYCON).

[2]  K. Tammi,et al.  Impact of Electric Vehicle Charging Station Load on Distribution Network , 2018 .

[3]  J. Driesen,et al.  Optimal real-time pricing for unbalanced distribution grids with network constraints , 2013, 2013 IEEE Power & Energy Society General Meeting.

[4]  Jiuping Pan,et al.  Review of usage-based transmission cost allocation methods under open access , 2000 .

[5]  Francisco Jurado,et al.  Modelling and assessment of the combined technical impact of electric vehicles and photovoltaic generation in radial distribution systems , 2017 .

[6]  M. Matos,et al.  Loss allocation in distribution networks with embedded generation , 2004, IEEE Transactions on Power Systems.

[7]  Jos Arrillaga,et al.  Computer Analysis of Power Systems , 1990 .

[8]  Janusz Bialek,et al.  Tracing the flow of electricity , 1996 .

[9]  Mingguo Hong An Approximate Method for Loss Sensitivity Calculation in Unbalanced Distribution Systems , 2014, IEEE Transactions on Power Systems.

[10]  Fatih Erden,et al.  Distributed Control of PEV Charging Based on Energy Demand Forecast , 2018, IEEE Transactions on Industrial Informatics.

[11]  S. Oren,et al.  Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management , 2014 .

[12]  A. Conejo,et al.  Incremental Transmission Loss Allocation under Pool Dispatch , 2002, IEEE Power Engineering Review.

[13]  W.H. Kersting A three-phase unbalanced line model with grounded neutrals through a resistance , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[14]  Krischonme Bhumkittipich,et al.  Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis , 2018 .

[15]  Nadarajah Mithulananthan,et al.  Impact of electric vehicle fast charging on power system voltage stability , 2014 .

[16]  Francisco Jurado,et al.  Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems , 2017 .

[17]  D. Montenegro,et al.  Real time OpenDSS framework for distribution systems simulation and analysis , 2012, 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA).

[18]  Manuel A. Matos,et al.  Economic and technical management of an aggregation agent for electric vehicles: a literature survey , 2012 .

[19]  M. Ilic,et al.  Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets , 2011, IEEE Transactions on Power Systems.

[20]  Enrico Carpaneto,et al.  Characterization of the loss allocation techniques for radial systems with distributed generation , 2008 .

[21]  Manvir Kaur,et al.  Effective Loss Minimization and Allocation of Unbalanced Distribution Network , 2017 .

[22]  B. Ozpineci,et al.  EV/PHEV Bidirectional Charger Assessment for V2G Reactive Power Operation , 2013, IEEE Transactions on Power Electronics.

[23]  Magdy Salama,et al.  A comprehensive study of the impacts of PHEVs on residential distribution networks , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

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

[25]  J. P. S. Catalao,et al.  Impact of EV charging-at-work on an industrial client distribution transformer in a Portuguese Island , 2015, 2015 Australasian Universities Power Engineering Conference (AUPEC).

[26]  Roger C. Dugan,et al.  An open source platform for collaborating on smart grid research , 2011, 2011 IEEE Power and Energy Society General Meeting.

[27]  Jose M. Yusta,et al.  Distribution power flow method based on a real quasi-symmetric matrix , 2013 .

[28]  J. Mutale,et al.  Allocation of losses in distribution systems with embedded generation , 2000 .

[29]  E.D. Castronuovo,et al.  Reactive Power Response of Wind Generators Under an Incremental Network-Loss Allocation Approach , 2008, IEEE Transactions on Energy Conversion.

[30]  B. Gorenstin,et al.  Some fundamental, technical concepts about cost based transmission pricing , 1996 .

[31]  Turan Gonen,et al.  Electric Power Distribution Engineering , 2014 .

[32]  Francisco Jurado,et al.  Voltage behaviour in radial distribution systems under the uncertainties of photovoltaic systems and electric vehicle charging loads , 2018 .

[33]  Joakim Widén,et al.  On a probability distribution model combining household power consumption, electric vehicle home-charging and photovoltaic power production , 2015 .

[34]  N. Nair,et al.  Economic and pricing signals in electricity distribution systems: A bibliographic survey , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[35]  Mariesa L. Crow,et al.  Pricing and Control in the Next Generation Power Distribution System , 2012, IEEE Transactions on Smart Grid.

[36]  R. G. Wasley,et al.  Newton-Raphson algorithm for 3-phase load flow , 1974 .