Thesis
Impact of electric vehicle penetration on power system dynamics
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2025
- Thesis identifier
- T17265
- Person Identifier (Local)
- 201851218
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- In recent years, governments worldwide have been actively advocating for the electrification of the transportation sector to reduce carbon emissions. As a result, the global fleet of electric vehicles (EVs) has undergone significant growth, signifying their increasing importance in the overall power consumption landscape. The unique characteristics of power converters used in EV charging stations have a direct influence on power system dynamics, which necessitates the development of new methods and models to analyse the dynamic performance of distribution networks (DNs) that incorporate EVs. This thesis presents a novel approach to analysing the dynamic properties of EVs and simulating the dynamic behaviour of EV-rich DNs. These studies focus on two aspects - EV dynamic equivalent modelling and the impact of EVs and their modelling for system-level studies. From the perspective of dynamic equivalent EV load modelling, this study investigates different charging approaches of EVs, i.e. slow and fast charging. From the perspective of DNs, EVs represent a distinctive type of load characterized by the control loops of interfacing converters. By examining the charging approaches utilized by EVs, this study provides insights into the behaviour of EV loads and their interaction with the distribution networks. It considers the implications of EV charging dynamics on load modelling, recognizing the need to accurately represent the distinctive characteristics of EV loads in power system studies. Through a comprehensive investigation, this research sheds light on the specific features and behaviour of EV loads, facilitating the development of accurate and reliable models for incorporating EVs into distribution network analysis. On the other hand, this thesis investigates the dynamic characteristics of DNs hosting EVs. As EVs become a part of the overall load in DNs, the research focuses on analysing the dynamic behaviour of the entire network. However, the presence of EVs introduces complicated parameters that influence the system, posing challenges in quantifying differences among extensive simulation results. Consequently, new methods and models are needed to simulate and analyse the dynamic performance of DNs integrated with EVs. Towards this objective, an equivalent model based on variable order transfer functions, is proposed in this thesis, to analyse the dynamic properties of EVs as well as to simulate the dynamic behaviour of EV-rich DNs. Furthermore, the study quantifies the influence of EV penetration levels on DN dynamics using a set of metrics. This analysis contributes to a better understanding of the effects of increasing EV penetration on the overall network behaviour. Additionally, a parametric analysis is conducted to validate the applicability of the proposed equivalent model for the dynamic analysis of DNs under specific EV penetration levels. Finally, guidelines for the derivation of generic parameters for the developed equivalent model are proposed.
- Advisor / supervisor
- Burt, Graeme
- Papadopoulos, Panagiotis
- Resource Type
- DOI
Relations
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