Abstract
Rooftop photovoltaics (PVs) and electric vehicles (EVs) have gained significant attention recently due to their key factor of decarbonising the electricity and transportation sectors. However, introducing new charging stations and increasing PV integration into power distribution systems can bring new operational challenges, including overvoltage and voltage unbalance. Therefore, this paper investigates the impact of EVs connection on an unbalanced power distribution system considering local voltage control of PV inverters. Several cases were studied using the unbalanced IEEE 37-node test feeder over a 24-hour simulation period. The unbalanced load flow calculation results argue that EVs connection can increase the severity of voltage unbalance, and PVs connection can potentially reduce the voltage unbalance issues. On the other hand, the reactive power capability of a PV system does not necessarily minimise power losses, especially at a high penetration level of PV.
Original language | English |
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Title of host publication | 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 9781665448758 |
ISBN (Print) | 9781665448765 (PoD) |
DOIs | |
Publication status | Published - 21 Dec 2021 |
Event | 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 - Espoo, Finland Duration: 18 Oct 2021 → 21 Oct 2021 |
Publication series
Name | IEEE PES Innovative Smart Grid Technologies Conference Europe |
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Publisher | IEEE |
ISSN (Print) | 2165-4816 |
ISSN (Electronic) | 2165-4824 |
Conference
Conference | 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 |
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Country/Territory | Finland |
City | Espoo |
Period | 18/10/21 → 21/10/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Electric Vehicles
- Photovoltaic system
- Reactive power control
- Unbalanced power distribution systems
- Voltage unbalance
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Artificial Intelligence