Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.563973
Title: Stochastic analysis and optimization of power system steady-state with wind farms and electric vehicles
Author: Li, Gan
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2012
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Abstract:
Since the end of last century, power systems are more often operating under highly stressed and unpredictable conditions because of not only the market-oriented reform but also the rising of renewable generation and electric vehicles. The uncertain factors resulting from these changes lead to higher requirements for the reliability of power grids. In this situation, conventional deterministic analysis and optimization methods cannot fulfil these requirements very well, so stochastic analysis and optimization methods become more and more important. This thesis tries to cover different aspects of stochastic analysis and optimization of the power systems from a perspective of its steady state operation. Its main research topics consist of four parts: deterministic power flow calculations, modelling of wind farm power output and electric vehicle charging demand, probabilistic power flow calculations, as well as stochastic optimal power flow. These different topics involve modelling, analysis and optimization, which could establish a whole stochastic methodology of the power system with wind farms and electric vehicles.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.563973  DOI: Not available
Keywords: T Technology (General) ; TA Engineering (General). Civil engineering (General) ; TK Electrical engineering. Electronics Nuclear engineering
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