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Article

Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

1
GECAD—Knowledge Engineering and Decision Support Research Center—Polytechnic of Porto (IPP), R. Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
2
University of Salamanca, 37008 Salamanca, Spain
3
Osaka Institute of Technology, 5 Chome-16-1 Omiya, Asahi Ward, Osaka 535-8585, Japan
4
University of Technology Malaysia, Pusat Pentadbiran Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
*
Author to whom correspondence should be addressed.
Energies 2019, 12(4), 686; https://doi.org/10.3390/en12040686
Received: 22 January 2019 / Revised: 7 February 2019 / Accepted: 14 February 2019 / Published: 20 February 2019
(This article belongs to the Special Issue Intelligent Transportation Systems for Electric Vehicles)
The use of electric vehicles (EVs) is growing in popularity each year, and as a result, considerable demand increase is expected in the distribution network (DN). Additionally, the uncertainty of EV user behavior is high, making it urgent to understand its impact on the network. Thus, this paper proposes an EV user behavior simulator, which operates in conjunction with an innovative smart distribution locational marginal pricing based on operation/reconfiguration, for the purpose of understanding the impact of the dynamic energy pricing on both sides: the grid and the user. The main goal, besides the distribution system operator (DSO) expenditure minimization, is to understand how and to what extent dynamic pricing of energy for EV charging can positively affect the operation of the smart grid and the EV charging cost. A smart city with a 13-bus DN and a high penetration of distributed energy resources is used to demonstrate the application of the proposed models. The results demonstrate that dynamic energy pricing for EV charging is an efficient approach that increases monetary savings considerably for both the DSO and EV users. View Full-Text
Keywords: charging behaviors; distribution locational marginal pricing; distribution networks; electric mobility; electric vehicle; operation; reconfiguration; renewable energy sources; smart city; smart grid charging behaviors; distribution locational marginal pricing; distribution networks; electric mobility; electric vehicle; operation; reconfiguration; renewable energy sources; smart city; smart grid
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MDPI and ACS Style

Canizes, B.; Soares, J.; Vale, Z.; Corchado, J.M. Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City. Energies 2019, 12, 686. https://doi.org/10.3390/en12040686

AMA Style

Canizes B, Soares J, Vale Z, Corchado JM. Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City. Energies. 2019; 12(4):686. https://doi.org/10.3390/en12040686

Chicago/Turabian Style

Canizes, Bruno, João Soares, Zita Vale, and Juan M. Corchado. 2019. "Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City" Energies 12, no. 4: 686. https://doi.org/10.3390/en12040686

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