Distribution Grid Monitoring through Pilot Injection and Successive Interference Cancellation

Neshvad, Surena; Chatzinotas, Symeon; Sachau, Jürgen

Reference : Distribution Grid Monitoring through Pilot Injection and Successive Interference Canc...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Energy
	To cite this reference:	http://hdl.handle.net/10993/19314

Title :	Distribution Grid Monitoring through Pilot Injection and Successive Interference Cancellation
Language :	English
Author, co-author :	Neshvad, Surena [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sachau, Jürgen [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2014
Journal title :	Proceedings of IAEE Conference
Peer reviewed :	No
Audience :	International
Event name :	14h Annal Conference on Sustainable Energy Policy and Strategies for Europe
Event date :	from 28-10-2014 to 1-11-2014
Event organizer :	LUISS University of Rome
Event place (city) :	Rome
Event country :	Italy
Keywords :	[en] power system monitoring ; smart grid ; active identification
Abstract :	[en] Due to the push for renewable energy in the last decades, European countries have witnessed an exponential growth of Distributed Generation (DG) on the Medium Voltage (MV) network. An increasingly large portion of the electricity demand is fed in through the distribution grid, whose good health and operational status will be important for guaranteeing grid stability. In Luxembourg, the distribution network is sparsely monitored and controlled, thus instabilities arising due to line overvoltage or DG malfunctioning are not rapidly detected and resolved. This research discusses a novel and low infrastructure methodology for online monitoring of the distribution grid. Such a tool will be increasingly necessary in order to guarantee the stability, reliability and security of the power network, as a larger and larger portion of the energy demand will be satisfied by DG in future years. In this research, advanced system identification techniques utilized in communications, such as Pseudo-Random Binary Sequences, Successive Interference Cancellation are applied to estimate the transfer function of power network propagation paths. The developed method proposes an online monitoring tool that computes grid parameters in real time during operation, without extensive infrastructure addition, by utilizing the PWM based inverters on the grid for active system identification.
Research centres :	University of Luxembourg, SNT
Funders :	Fonds National de la Recherche - FnR ; CREOS
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/19314

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