Abstract
This paper proposes a control scheme that computes the maximum available power capacity for a charging site (CS) in real time without causing voltage or congestion issues in the distribution grid. The controller uses a measured variable consisting of one or multiple local measurements near or at the CS. As a result, the proposed control scheme can operate autonomously without the need for a central controller. A three-step method is developed to evaluate and select different measurements with their setpoints for the controller. Finally, a case study of a distribution grid is used to demonstrate the measurement selection method and to simulate the controller. Results show that the proposed framework can achieve near-optimal performance despite only relying on local measurements.
Original language | English |
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Title of host publication | Proceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2024 |
ISBN (Electronic) | 979-8-3503-9678-2 |
DOIs | |
Publication status | Published - 2024 |
Event | 2023 IEEE PES Innovative Smart Grid Technologies Europe - Grenoble, France Duration: 23 Oct 2023 → 26 Oct 2023 |
Conference
Conference | 2023 IEEE PES Innovative Smart Grid Technologies Europe |
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Country/Territory | France |
City | Grenoble |
Period | 23/10/2023 → 26/10/2023 |
Keywords
- Electric vehicle (EV)
- Charging site (CS)
- Active network management (ANM)
- Optmial power flow (OPF)