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Article

An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles

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Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic of Porto (ISEP/IPP), Rua António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
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Polytechnic of Porto, Rua António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
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BISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, Spain
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Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
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Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(2), 129; https://doi.org/10.3390/electronics10020129
Received: 9 December 2020 / Revised: 30 December 2020 / Accepted: 5 January 2021 / Published: 9 January 2021
(This article belongs to the Special Issue Electric Vehicles Integration and Control in Smart Grids)
Electric vehicles have emerged as one of the most promising technologies, and their mass introduction may pose threats to the electricity grid. Several solutions have been proposed in an attempt to overcome this challenge in order to ease the integration of electric vehicles. A promising concept that can contribute to the proliferation of electric vehicles is the local electricity market. In this way, consumers and prosumers may transact electricity between peers at the local community level, reducing congestion, energy costs and the necessity of intermediary players such as retailers. Thus, this paper proposes an optimization model that simulates an electric energy market between prosumers and electric vehicles. An energy community with different types of prosumers is considered (household, commercial and industrial), and each of them is equipped with a photovoltaic panel and a battery system. This market is considered local because it takes place within a distribution grid and a local energy community. A mixed-integer linear programming model is proposed to solve the local energy transaction problem. The results suggest that our approach can provide a reduction between 1.6% to 3.5% in community energy costs. View Full-Text
Keywords: electric vehicles; energy community; local electricity markets; peer-to-vehicle; prosumers electric vehicles; energy community; local electricity markets; peer-to-vehicle; prosumers
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MDPI and ACS Style

Faia, R.; Soares, J.; Vale, Z.; Corchado, J.M. An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles. Electronics 2021, 10, 129. https://doi.org/10.3390/electronics10020129

AMA Style

Faia R, Soares J, Vale Z, Corchado JM. An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles. Electronics. 2021; 10(2):129. https://doi.org/10.3390/electronics10020129

Chicago/Turabian Style

Faia, Ricardo, João Soares, Zita Vale, and Juan M. Corchado. 2021. "An Optimization Model for Energy Community Costs Minimization Considering a Local Electricity Market between Prosumers and Electric Vehicles" Electronics 10, no. 2: 129. https://doi.org/10.3390/electronics10020129

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