Operation and Control of EV Infrastructure for Microgrid

Mohamed Iqbal, M (2024) Operation and Control of EV Infrastructure for Microgrid. In: Microgrids for Commercial Systems. Wiley, pp. 345-379. ISBN 9781394167319, 9781394166305

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Abstract

New electric vehicle charging infrastructure is proposed in this chapter to implement the enhanced operation and control of microgrids for commercial practices. The development of intended solutions was initiated with the study of different sources of expansion in the microgrid between 2018 and 2021. The prediction value was computed for 2022 to 2025. The four charging levels (level 1, level 2, level 3, and level 4) are classified from the literature to utilize the existing resources in an optimal way. Changes identified in the charging infrastructure are reflected in the existing process through charging levels based on the number of electric vehicles and environmental conditions. The voltage profile in a day is computed for each charging level to normalize the number of electric vehicles utilizing the same infrastructure to improve the commercial systems. The mentioned parameters are loaded in the new forecasting model with a minimum convolution level. The proposed forecasting model’s level of improvement demonstrates that, with the existing charging infrastructure, improved microgrid operation is possible. Location-wise classification is performed for the state of charging for all the days in a year with possible profit improvement. Furthermore, the charging delay in each level of charging was simulated with an incremental cost saving for different electric vehicle counts. Finally, the total electric vehicle counts revealed enhancements in a day after the computation of actual and expected movement. The energy saving improved by approximately 5% to 15% for every 5-kWh charging, which shows the future adaptability of the proposed method.

Item Type: Book Section
Subjects: D Electrical and Electronics Engineering > Automation and Control Systems
D Electrical and Electronics Engineering > Electric and Hybrid Vehicles
Divisions: Electrical and Electronics Engineering
Depositing User: Users 5 not found.
Date Deposited: 06 May 2024 03:21
Last Modified: 06 May 2024 03:21
URI: https://ir.psgitech.ac.in/id/eprint/473

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