Stochastic analysis and optimization of power system steady-state with wind farms and electric vehicles

Li, Gan (2012). Stochastic analysis and optimization of power system steady-state with wind farms and electric vehicles. University of Birmingham. Ph.D.

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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.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Electronic, Electrical and Computer Engineering
Funders: None/not applicable
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering


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