A PROBABILITY-BASED CONTINGENCY MANAGEMENT APPROACH USING LINE INDICES.
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| Title: | A PROBABILITY-BASED CONTINGENCY MANAGEMENT APPROACH USING LINE INDICES. |
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| Authors: | Mishra, Akanksha1 misakanksha@gmail.com, Nagesh Kumar, Gundavarapu V.1 drgvnk@rediffmail.com |
| Source: | International Journal of Power & Energy Systems. 2016, Vol. 36 Issue 2, p45-53. 9p. 2 Diagrams, 4 Charts, 7 Graphs. |
| Subjects: | Backup processing alternatives in electronic data processing, Voltage regulators, Fuzzy logic, Monte Carlo method, Electric power consumption, Mathematical models |
| Abstract: | Modern-day power systems are liable to widespread failures. There is a continuous growth in power demand while there is a very narrow scope for expansion of a transmission network causing overloading in some of the transmission lines. Contingency management of a power system is an essential task as it ensures a stable and reliable operation in situation of outages in transmission lines and generator units. In this paper, a risk-based placement strategy for interline power flow converter (IPFC) has been proposed. First, the lines have been ranked using Composite Severity Index, which is a combination of line utilization factor and Fast Voltage Stability Index. A probability-based strategy has been adopted for the placement of IPFC. From the list of the severe lines obtained, IPFC is placed on the line which has the maximum likelihood of severity during the occurrence of different outages. To verify the proposed methodology, it has been tested and implemented on an IEEE 57-bus system. The load on the node with the highest load is further increased gradually up to the critical value and the results have been presented and analysed. Also, an actual system condition has been taken into consideration wherein the load changes at regular intervals and the usefulness of IPFC in contingency management has been proven. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Power & Energy Systems is the property of Acta Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 120617216 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A PROBABILITY-BASED CONTINGENCY MANAGEMENT APPROACH USING LINE INDICES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mishra%2C+Akanksha%22">Mishra, Akanksha</searchLink><relatesTo>1</relatesTo><i> misakanksha@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Nagesh+Kumar%2C+Gundavarapu+V%2E%22">Nagesh Kumar, Gundavarapu V.</searchLink><relatesTo>1</relatesTo><i> drgvnk@rediffmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Power+%26+Energy+Systems%22">International Journal of Power & Energy Systems</searchLink>. 2016, Vol. 36 Issue 2, p45-53. 9p. 2 Diagrams, 4 Charts, 7 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Backup+processing+alternatives+in+electronic+data+processing%22">Backup processing alternatives in electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+regulators%22">Voltage regulators</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Modern-day power systems are liable to widespread failures. There is a continuous growth in power demand while there is a very narrow scope for expansion of a transmission network causing overloading in some of the transmission lines. Contingency management of a power system is an essential task as it ensures a stable and reliable operation in situation of outages in transmission lines and generator units. In this paper, a risk-based placement strategy for interline power flow converter (IPFC) has been proposed. First, the lines have been ranked using Composite Severity Index, which is a combination of line utilization factor and Fast Voltage Stability Index. A probability-based strategy has been adopted for the placement of IPFC. From the list of the severe lines obtained, IPFC is placed on the line which has the maximum likelihood of severity during the occurrence of different outages. To verify the proposed methodology, it has been tested and implemented on an IEEE 57-bus system. The load on the node with the highest load is further increased gradually up to the critical value and the results have been presented and analysed. Also, an actual system condition has been taken into consideration wherein the load changes at regular intervals and the usefulness of IPFC in contingency management has been proven. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Power & Energy Systems is the property of Acta Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2316/Journal.203.2016.2.203-6180 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 45 Subjects: – SubjectFull: Backup processing alternatives in electronic data processing Type: general – SubjectFull: Voltage regulators Type: general – SubjectFull: Fuzzy logic Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Electric power consumption Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: A PROBABILITY-BASED CONTINGENCY MANAGEMENT APPROACH USING LINE INDICES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mishra, Akanksha – PersonEntity: Name: NameFull: Nagesh Kumar, Gundavarapu V. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 10783466 Numbering: – Type: volume Value: 36 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Power & Energy Systems Type: main |
| ResultId | 1 |
