- Title
- Application of fuzzy clustering technique to reduce the load data in reliability evaluation of restructured power systems
- Creator
- Viswanath, P. A.; Goel, L.; Wang, P.
- Relation
- 2nd International Conference on Emerging Trends in Engineering & Technology (ICETET 09). Proceedings of the 2nd International Conference on Emerging Trends in Engineering & Technology (Nagpur, India 16-18 December, 2009) p. 543-548
- Publisher Link
- http://dx.doi.org/10.1109/ICETET.2009.37
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2009
- Description
- This paper presents the application of fuzzy clustering technique on large load data to greatly reduce calculations in reliability evaluation of restructured power systems. The method involves: first grouping a large load data into few clusters, secondly calculating partial membership value of each load point in each cluster, thirdly calculating reliability indices for each cluster and finally, expressing the reliability indices at each load point in terms of the reliability index of the cluster and the membership value that the load point has in that cluster. A non-sequential Monte Carlo simulation technique based on this framework has been proposed to evaluate the customer reliability of restructured power systems.
- Subject
- load clustering; hybrid markets; reliability assessment; contingency management; Monte Carlo simulations; reserves; load curtailment bids; fuzzy clustering
- Identifier
- uon:8708
- Identifier
- http://hdl.handle.net/1959.13/918794
- Identifier
- ISBN:9780769538846
- Rights
- Copyright © 2009 IEEE. Reprinted from the Proceedings of the 2nd International Conference on Emerging Trends in Engineering & Technology. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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