Linking damping of electromechanical oscillations to system operating conditions using neural networks

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

This paper presents the application of Neural Networks to link the damping of electromechanical oscillations in the Nordic power system to the measured operating conditions. Different neural network topologies have already been presented in the literature for this application, but using exclusively data from simulations. The primary objective of the paper is to analyze how these topologies behave with data from a real power system. The damping of the 0.35 Hz electromechanical oscillation has been first estimated from a large amount of Phasor Measurements Units (PMU) measurements for a two years period. Three neural network models are trained with power system variables as generation, load and power flows over cross-border lines measured during year 2010, used as input, and the estimated damping from PMU measurements during the same year, used as target. The neural network models are then tested with the data from 2011 with the aim of estimating the damping. The results indicate that neural networks can correctly predict more than 80% of the operating conditions resulting in low damping during the entire year 2011. The presented method is purely measurement-based and it can be used in conjunction with other traditional model-based planning methods to predict oscillatory stability limits.

Details

Authors
Organisations
External organisations
  • Lund University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • damping, neural networks, PMU measurements, power system oscillations
Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies, Europe
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-4799-7720-8
Publication statusPublished - 2015
Publication categoryResearch
Peer-reviewedYes
Event2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014 - Istanbul, Turkey
Duration: 2014 Oct 122014 Oct 15

Conference

Conference2014 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2014
CountryTurkey
CityIstanbul
Period2014/10/122014/10/15