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ON-LINE POWER-SYSTEM STABILITY ASSESSMENT USING PATTERN RECOGNITION METHODS
ID DIMITROVSKA, TEODORA (Author), ID Mihalič, Rafael (Mentor) More about this mentor... This link opens in a new window

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Abstract
For many utilities around the world, there has been considerable pressure to increase power flows over existing transmission corridors, partly due to economic incentives such as trends towards deregulation and competition. This consistent pressure has prompted the requirement for extending common power-system studies to take account of dynamic security assessment and control. Furthermore, several post-mortem analyses have shown that scenarios that have had catastrophic impacts such as blackouts are rarely caused by an isolated single or multiple common-mode contingencies that are to blame but a handful of independent contingencies coupled with an already stressed system operating state. The lack of situational awareness has been identified as one of the main factors contributing to the gravity of these events. Moreover, network planing and developement trends are expected to introduce an unprecedented level of uncertainty to the system operators, not only in the locations of distributed resources and active loads, but their intermittent nature as well. The so-called tribal knowledge of system operators is failing in dealing with completely unfamiliar patterns of the system behaviour. This is why it is important to understand and document both the current and future patterns of system behaviour with regards to dynamic stability.

Language:English
Keywords:electrical power-system, transient stability assessment, pattern recognition, principal comoponents analysis, euclidean distance, contingency screening method, algorithm for synthesis
Work type:Doctoral dissertation
Organization:FE - Faculty of Electrical Engineering
Year:2019
PID:20.500.12556/RUL-108034 This link opens in a new window
Publication date in RUL:12.06.2019
Views:1903
Downloads:381
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Secondary language

Language:Slovenian
Title:SPROTNA OCENA STABILNOSTI ELEKTROENERGETSKEGA SISTEMA Z METODAMI RAZPOZNAVANJA VZORCEV
Abstract:
Tržna ureditev na področju elektroenergetike je povzročila prestrukturiranje monopolnih elektrogospodarstev s ciljem ločitve celotnega sektorja na tržne in državno regulirane dele. Na področju vodenja elektroenergetskih sistemov (EES) se nova ureditev med drugim kaže tudi v obliki potreb po sprotni oceni dinamične stabilnosti EES, saj je njegova obremenitev vedno bližje njegovim zmogljivostim. Nadalje, post-mortem analize velikih razpadov EES so pokazale, da so takšni scenariji redko posledice posamičnih okvar ali večjega števila okvar s skupnim vzrokom. V večini primerov je vzrok večje število medsebojno neodvisnih okvar, in sicer v kombinaciji s stanjem visokih obremenitev ter prenizke ozaveščenosti o občutljivosti predhodne obratovalne točke. Predvidevanja za prihodnost in trendi kažejo na stopnjo negotovosti brez primere, ne samo v smislu lokacije razpršenih virov in aktivnih bremen, ampak tudi v načinu njihovega obratovanja. Posledično se ustaljeni, uveljavljeni ter dobro poznani vzorci obratovanja EES spreminjajo. To je razlog za nastanek potrebe po dokumentiranju in razumevanju tako trenutnih kot tudi prihodnjih vzorcev obratovanja EES s stališča njegove dinamične stabilnosti.

Keywords:elektroenergetski sistemi, ocene tranzientne stabilnosti EES, razpoznavanje vzorcev, metoda glavnih koponenet, evklidska razdalja, kritični čas odstranitev motnje, metoda selekcijo motenj, algoritem za združevanje metod

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