Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709884
Title: The impact of electric vehicles on power system transient stability
Author: Zhou, Bowen
ISNI:       0000 0004 6060 2759
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2016
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Abstract:
The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in both transportation and electricity sectors and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. Large-scale EV integration in power systems has modified the nature of the traditional electric load such that it should be controllable. Moreover, uncertain power sources and demand pose challenges in electricity transmission grid, leading to significant impact on power system security and stability. Therefore, it is timely that a comprehensive study of the impacts of large-scale EVs integration on power system stability is published. This thesis introduces EV development and typical global research and examines stochastic and intermittent issues which have parameterised in time, location, and magnitude. The work initially develops a flexible EV charging and discharging capacity forecasting model, which is suitable for different kinds of optimisation objects. Based on the proposed model, the main body of this work examines steady-state and transient stability analysis. In steady-state analysis, EV station siting and sizing and steady-state stability are considered. In transient stability analysis, an AC/DC converter-based EV station model has been proposed. EV connections and typical faults are discussed. Critical clearing time (CCT) and transient stability margin are used to assess transient stability by time-domain simulation. Two further topics, using local battery energy storage to meet local demand and application of an EV module for power system dispatch have been proposed as complementary applications for distribution networks and transmission grids.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.709884  DOI: Not available
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