Distribution system reliability assessment using hierarchical Markov modeling
- Univ. of Washington, Seattle, WA (United States). Dept. of Electrical Engineering
- Snohomish County PUD No. 1, Everett, WA (United States)
Distribution system reliability assessment is concerned with power availability and power quality at each customer`s service entrance. This paper presents a new method, termed Hierarchical Markov Modeling (HMM), which can perform predictive distribution system reliability assessment. HMM is unique in that it decomposes the reliability model based on system topology, integrated protection systems, and individual protection devices. This structure, which easily accommodates the effects of backup protection, fault isolation, and load restoration, is compared to simpler reliability models. HMM is then used to assess the reliability of an existing utility distribution system and to explore the reliability impact of several design improvement options.
- OSTI ID:
- 422781
- Report Number(s):
- CONF-960111-; ISSN 0885-8977; TRN: IM9707%%88
- Journal Information:
- IEEE Transactions on Power Delivery, Vol. 11, Issue 4; Conference: IEEE Power Engineering Society (PES) Winter meeting, Baltimore, MD (United States), 21-25 Jan 1996; Other Information: PBD: Oct 1996
- Country of Publication:
- United States
- Language:
- English
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