Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case: An experimental case
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2022
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Abstract
This study introduces a quadratic programming-based optimisation method to coordinate electric vehicle (EV) charging and photovoltaic (PV) curtailment in unbalanced low voltage (LV) networks. The proposed model is defined as a convex model that guarantees the optimal global solution of the problem avoiding the complexity of non-linear models and surpassing the limitations of local solutions derived from meta-heuristics algorithms reported in the literature. The coordination is carried out through a centralised controller installed at the header of the LV feeder. The objective of the proposed strategy is to minimise the power curtailment of all PV systems and maximise the power delivered to all EVs by optimising at every time step a suitable setpoint for the PV units and the charging rate of each EV connected without surpassing network constraints. A new energy-boundary model is also proposed to meet the energy requirements of all EVs, which is based on a recurrent function that depends on the arrival-and-desired energy states of the vehicle to compute its charging trajectory optimally. The effectiveness of the proposed coordination strategy was successfully proven through three scenarios in a laboratory environment, making use of two commercial EVs and a PV inverter in a Power Hardware-in-the-Loop setup.
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Publisher Copyright: © 2022 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
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Electric vehicles , Charging batteries , Low-voltage networks , Non-linear modelling , Photovoltaic power , Electric vehicles , Charging batteries , Low-voltage networks , Non-linear modelling , Photovoltaic power , Information Systems , Computer Networks and Communications , Electrical and Electronic Engineering , SDG 7 - Affordable and Clean Energy , Project ID , info:eu-repo/grantAgreement/EC/H2020/957755/EU/Sustainable Consumer engagement and demand response/SENDER , info:eu-repo/grantAgreement/EC/H2020/957755/EU/Sustainable Consumer engagement and demand response/SENDER , Funding Info , This work was supported by TECNALIA funding through the 2017 PhD scholarship programme. TECNALIA is a "CERVERA Technology Centre of Excellence" recognised by the Ministry of Science and Innovation. The authors also would like to thank the Basque Government (GISEL research group IT1191‐19) and the UPV/EHU (GISEL research group 18/181) for their support in this work, as well as the TU Dortmund University for allowing the use of its facilities to obtain the results described in this paper. Dr. Kalle Rauma would like to thank the support of the German Federal Ministry of Transport and Digital Infrastructure through the project Parken und Laden in der Stadt (03EMF0203). The work of Kalle Rauma was also supported by the European Union's Horizon 2020 Research and Innovation Programme through SENDER project under grant agreement no. 957755 , This work was supported by TECNALIA funding through the 2017 PhD scholarship programme. TECNALIA is a "CERVERA Technology Centre of Excellence" recognised by the Ministry of Science and Innovation. The authors also would like to thank the Basque Government (GISEL research group IT1191‐19) and the UPV/EHU (GISEL research group 18/181) for their support in this work, as well as the TU Dortmund University for allowing the use of its facilities to obtain the results described in this paper. Dr. Kalle Rauma would like to thank the support of the German Federal Ministry of Transport and Digital Infrastructure through the project Parken und Laden in der Stadt (03EMF0203). The work of Kalle Rauma was also supported by the European Union's Horizon 2020 Research and Innovation Programme through SENDER project under grant agreement no. 957755
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Cortés Borray , A F , Rauma , K & Torres , E 2022 , ' Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case : An experimental case ' , IET Smart Grid , vol. unknown , no. 3 , pp. 233-245 . https://doi.org/10.1049/stg2.12092