Topology and Parameter Estimation in Power Systems Though Inverter Based Broadband Stimulations

Neshvad, Surena

Reference : Topology and Parameter Estimation in Power Systems Though Inverter Based Broadband St...


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Sustainable Development
	To cite this reference:	http://hdl.handle.net/10993/27964

Title :	Topology and Parameter Estimation in Power Systems Though Inverter Based Broadband Stimulations
Language :	English
Author, co-author :	Neshvad, Surena [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	14-Jun-2016
Institution :	University of Luxembourg, Luxembourg, Luxembourg
Name of the degree :	Docteur en Sciences de l'Ingénieur
Number of pages :	163
Supervisor :	Sachau, Jürgen
President of the jury :	Engel, Thomas
Secretary :	Chatzinotas, Symeon
Member of the jury :	Jostock, Markus
	Stevens, Stijn
Keywords :	[en] Power Network Topology Identification ; Pseudo Random Binary Sequence ; Islanding Detection
Abstract :	[en] During the last decade, a substantial growth in renewable, distributed energy production has been observed in industrial countries. This phenomenon, coupled with the adoption of open energy markets has signi cantly complicated the power ows on the distribution network, requiring advanced and intelligent system monitoring in order to optimize the e ciency, quality and reliability of the system. This thesis proposes a solution several power network challenges encountered with increasing Distributed Generation (DG) penetration. The three problems that are addressed are islanding detection, online transmission line parameter identi cation and system topology identi cation. These tasks are performed by requesting the DGs to provide ancillary services to the network operator. A novel and intelligent method has been proposed for reprogramming the DGs Pulse Width Modulator, requesting each DG to inject a uniquely coded Pseudo-Random Binary Sequence along with the fundamental. Islanding detection is obtained by measuring the equivalent Thevenin impedance at the inverters Point of Common Coupling, while system characterization is obtained by measuring the induced current frequencies at various locations in the grid. To process and evaluate the measured signals, a novelWeighed Least-Squares aggregation method is developed, through which measurements are combined and correlated in order to obtain an accurate snapshot of the power network parameters.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/27964

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