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RACalc: a Power Distribution Reliability Tool
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0001-6882-3642
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0002-2964-7233
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2010 (English)In: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS): Date:14-17 June 2010, IEEE , 2010, 154-159 p.Conference paper, Published paper (Refereed)
Abstract [en]

One major objective of maintenance management activities in electrical distribution systems is to find the right level of investments. Within an MSc thesis project at KTH, the probabilistic reliability software RACalc has been developed to support the decision making in the distribution system maintenance planning and risk analysis. This paper desccribes the algorithms in RACalc and shows on present status on RADPOW, an additional reliability tool developed within the research group. Calculations with RACalc is in this paper exemplified with a case study on an existing Swedish distribution system, were the program is used to determine the components’ importance to the system reliability indices. The result show that if the failure rate can be decreased by 10% on the 21% most important components, the overall system reliability improvement is more than 7%.

Place, publisher, year, edition, pages
IEEE , 2010. 154-159 p.
Keyword [en]
GUI, RACalc, RADPOW, RCAM, Reliability analysis, component, electrical distribution systems, risk management
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-33500DOI: 10.1109/PMAPS.2010.5528991Scopus ID: 2-s2.0-77956440161OAI: oai:DiVA.org:kth-33500DiVA: diva2:415667
Conference
Proceedings IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Note
© 2010 IEEE. Personal use of the attached pdf is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20110708Available from: 2011-07-08 Created: 2011-05-09 Last updated: 2011-10-25Bibliographically approved
In thesis
1. Identifying critical components for system reliability in power transmission systems
Open this publication in new window or tab >>Identifying critical components for system reliability in power transmission systems
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Large interruptions of power supply in the transmission system have considerable impact on modern society. The goal for the transmission system operator (TSO) is to prevent and mitigate such events with optimal decisions in design, planning, operation and maintenance. Identifying critical power components for system reliability provides one important input to this decision-making.

This thesis develops quantitative component reliability importance indices applicable for identifying critical components in real transmission systems. Probabilistic models with component failure statistics are combined with detailed power system models evaluated with the AC power flow technique. In the presented method each system component is assigned three importance indices based on outage events expected probability and consequence to (i) reduced system security margin, (ii) interrupted load supply and (iii) disconnected generation units. By ranking components by each of the three interests, a more complete view of the risks to system reliability can be assessed than if, as traditionally, only (ii) is modelled. The impact on security margin is studied in well established critical transfer sections (CTS) supervised by the TSO. TSOs set the CTSs limits [MW] based on deterministic security criteria, with regard to thermal, voltage level, and system stability limits, and the CTSs' condition at post-contingency state is in the method used as an indicator of the system security margin.

The methodology is extended with three indices modified to quantify the component importance for common-cause events initiated by acts of sabotage.

The developed methods are applied on a significant part of the Great Britain transmission system, modelling 7000 components and 107 substation layouts. The study includes several load demand scenarios, 200 million initiating outage events and non-functioning protection equipment. The resulting component ranking provides an important input to the TSO's decision-making, and could be implemented as a complement to the existing deterministic N-1 criterion. With the methods applied a TSO can perform further and more detailed assessments on a few critical components in order to enhance system reliability for equipment failures and strengthen the system vulnerability against sabotage.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. 112 p.
Series
Trita-EE, ISSN 1653-5146 ; 2011:053
Keyword
transmission system reliability, component reliability importance index, Great Britain power system, power flow analysis, system adequacy, system security, system vulnerability
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-40389 (URN)978-91-7501-081-6 (ISBN)
Public defence
2011-10-07, K2, Teknikringen 28, KTH, Stockholm, 10:00 (English)
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Supervisors
Note
QC 20110920Available from: 2011-09-20 Created: 2011-09-14 Last updated: 2012-03-30Bibliographically approved

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Wallnerström, Carl Johan

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