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Optimal Microgrid Scheduling with Synthetic Inertia Provision from Electric Vehicle Charging Stations

Wen, Y; Chu, Z; Teng, F; Chen, B; (2024) Optimal Microgrid Scheduling with Synthetic Inertia Provision from Electric Vehicle Charging Stations. In: IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024. IEEE: Dubrovnik, Croatia. Green open access

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Abstract

This paper presents a microgrid (MG) scheduling problem involving frequency dynamic constraints with the provision of Synthetic Inertia (SI) via electric vehicles (EVs). The model of EV charging stations involving EVs' arriving/departure and charging/discharging dynamics is implemented. SI provision from EVs is incorporated into the frequency constraints, and the value of SI provided is constrained by the number of EVs in charge, the EVs' arrival state of charge, and the charging/discharging range of the chargers. To tackle the forecast errors from EVs, distributionally robust chance constraints are implemented. The Bonferroni approximation method is then utilized to separate the joint constraints into individual ones, which can be reformulated into convex forms. The MG scheduling problem can be formulated as an MILP problem. The effectiveness of the method is validated based on a modified IEEE 14-bus system.

Type: Proceedings paper
Title: Optimal Microgrid Scheduling with Synthetic Inertia Provision from Electric Vehicle Charging Stations
Event: 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Dates: 14 Oct 2024 - 17 Oct 2024
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISGTEUROPE62998.2024.10863177
Publisher version: https://doi.org/10.1109/isgteurope62998.2024.10863...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Europe, Microgrids, Pricing, Dynamic scheduling, Electric vehicle charging, Smart grids, Approximation methods, State of charge, Vehicle dynamics, Frequency control
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10206810
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