Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | IET Smart Grid |
| Online Access: | https://doi.org/10.1049/stg2.12092 |
| _version_ | 1797808834986639360 |
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| author | Andrés Felipe Cortés Borray Kalle Rauma Esther Torres |
| author_facet | Andrés Felipe Cortés Borray Kalle Rauma Esther Torres |
| author_sort | Andrés Felipe Cortés Borray |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T06:43:35Z |
| format | Article |
| id | doaj.art-acea4742d60d4f1394e18e03c77074e0 |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-03-13T06:43:35Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-acea4742d60d4f1394e18e03c77074e02023-06-08T12:48:28ZengWileyIET Smart Grid2515-29472023-06-016323324510.1049/stg2.12092Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental caseAndrés Felipe Cortés Borray0Kalle Rauma1Esther Torres2TECNALIA, Basque Research and Technology Alliance (BRTA) Derio SpainInstitute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund GermanyDepartment of Electrical Engineering University of the Basque Country (UPV/EHU) Bilbao SpainAbstract 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.https://doi.org/10.1049/stg2.12092 |
| spellingShingle | Andrés Felipe Cortés Borray Kalle Rauma Esther Torres Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case IET Smart Grid |
| title | Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case |
| title_full | Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case |
| title_fullStr | Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case |
| title_full_unstemmed | Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case |
| title_short | Optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks: An experimental case |
| title_sort | optimal coordination of electric vehicle charging and photovoltaic power curtailment in unbalanced low voltage networks an experimental case |
| url | https://doi.org/10.1049/stg2.12092 |
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