ORBi: Fabozzi Davide - Decomposition, Localization and Time-Averaging Approaches in Large-Scale Power System Dynamic Simulation

Reference : Decomposition, Localization and Time-Averaging Approaches in Large-Scale Power System Dy...


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/2268/126720

Title :	Decomposition, Localization and Time-Averaging Approaches in Large-Scale Power System Dynamic Simulation
Language :	English
Author, co-author :	Fabozzi, Davide [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	2-Jul-2012
Institution :	University of Liege
Name of the degree :	PhD in Engineering Sciences
Page number :	206
Country :	Belgium
Superviser :	Van Cutsem, Thierry
President of the jury :	Lilien, Jean-Louis
Member of the jury :	Rousseaux, Patricia
	Wehenkel, Louis
	Geuzaine, Christophe
	Milano, Federico
	Wellssow, Wolfram H.
	Pal, Bikash C.
Keywords :	[en] hybrid systems ; numerical stability ; differential-algebraic equations ; large-scale systems ; time simulation ; Schur complement ; time-averaging ; localization ; bordered block diagonal matrices ; Newton method
Abstract :	[en] Present-day interconnected electric power systems are the largest machines in the world. Guaranteeing a stable supply of electric power is vital for modern societies: power systems must be able to withstand plausible disturbances. A certain number of simulations of the post-disturbance behavior are routinely executed by some transmission system operators to assess that the system is operated in a secure way. Usually this assessment has to be performed within a predefined time frame, using the available computing resources. Improving the simulation speed allows the operators to perform a wider assessment, thus making better use of the available computational power. A large part of this research took place in the context of the PEGASE project, supported by European Commission (Seventh Framework Programme) and has resulted in some novel algorithms for faster dynamic simulations, one of the PEGASE project main goals. First, this thesis revisits the Newton method used to solve the differential-algebraic model. Then, three original algorithmic improvements are presented, namely (i) decomposition, (ii) localization and (iii) time-averaging of the system response. Finally, the combination of these approaches is shown to provide a fast and reliable tool for dynamic security assessment. All the presented techniques have been thoroughly tested on an academic system, a large real-life system and a realistic system of unprecedented size, representative of the whole continental European synchronous grid.
Research units :	Systems and Modeling
Name of the research project :	PEGASE
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/2268/126720
Framework Programme / European Project :	FP7 ; 211407 - PEGASE - Pan European Grid Advanced Simulation and state Estimation

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