Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory
With the increasing complication, compaction, and automation of distribution network equipment, a small failure will cause an outbreak chain reaction and lead to operational risk in the power distribution system, even in the whole power system. Therefore, scientific assessment of power distribution...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/263905 |
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| _version_ | 1832556084237172736 |
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| author | Cunbin Li Gefu Qing Peng Li Tingting Yin |
| author_facet | Cunbin Li Gefu Qing Peng Li Tingting Yin |
| author_sort | Cunbin Li |
| collection | DOAJ |
| description | With the increasing complication, compaction, and automation of distribution network equipment, a small failure will cause an outbreak chain reaction and lead to operational risk in the power distribution system, even in the whole power system. Therefore, scientific assessment of power distribution equipment operation risk is significant to the security of power distribution system. In order to get the satisfactory assessment conclusions from the complete and incomplete information and improve the assessment level, an operational risk assessment model of distribution network equipment based on rough set and D-S evidence theory was built. In this model, the rough set theory was used to simplify and optimize the operation risk assessment indexes of distribution network equipment and the evidence D-S theory was adopted to combine the optimal indexes. At last, the equipment operational risk level was obtained from the basic probability distribution decision. Taking the transformer as an example, this paper compared the assessment result obtained from the method proposed in this paper with that from the ordinary Rogers ratio method and discussed the application of the proposed method. It proved that the method proposed in this paper is feasible, efficient, and provides a new way to assess the distribution network equipment operational risk. |
| format | Article |
| id | doaj-art-adb73ecb76214388bcddb5ebd05fb184 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-adb73ecb76214388bcddb5ebd05fb1842025-02-03T05:46:27ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/263905263905Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence TheoryCunbin Li0Gefu Qing1Peng Li2Tingting Yin3School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaWith the increasing complication, compaction, and automation of distribution network equipment, a small failure will cause an outbreak chain reaction and lead to operational risk in the power distribution system, even in the whole power system. Therefore, scientific assessment of power distribution equipment operation risk is significant to the security of power distribution system. In order to get the satisfactory assessment conclusions from the complete and incomplete information and improve the assessment level, an operational risk assessment model of distribution network equipment based on rough set and D-S evidence theory was built. In this model, the rough set theory was used to simplify and optimize the operation risk assessment indexes of distribution network equipment and the evidence D-S theory was adopted to combine the optimal indexes. At last, the equipment operational risk level was obtained from the basic probability distribution decision. Taking the transformer as an example, this paper compared the assessment result obtained from the method proposed in this paper with that from the ordinary Rogers ratio method and discussed the application of the proposed method. It proved that the method proposed in this paper is feasible, efficient, and provides a new way to assess the distribution network equipment operational risk.http://dx.doi.org/10.1155/2013/263905 |
| spellingShingle | Cunbin Li Gefu Qing Peng Li Tingting Yin Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory Journal of Applied Mathematics |
| title | Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory |
| title_full | Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory |
| title_fullStr | Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory |
| title_full_unstemmed | Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory |
| title_short | Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory |
| title_sort | operational risk assessment of distribution network equipment based on rough set and d s evidence theory |
| url | http://dx.doi.org/10.1155/2013/263905 |
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