Conference proceeding
Decision fusion of voltage stability indicators for small sized power systems
2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262), v 3(SUMMER), pp 1658-1663 vol.3
2001
Abstract
In this paper, the authors consider a probabilistic approach to at the issue of voltage stability of a small power system. They do this via a data fusion technique using the Bayesian rule, which is well suited for such applications. They use three proximity indicators in this study. On their own, each of these indicators have some amount of probability of error when used in deciding whether the system is stable or not. A data fusion center is used here to minimize the probability of error in deciding whether the system is stable or not. The authors employ a data fusion center that fuses the decision made by each individual proximity indicator (rule) in an optimal way using the Bayesian technique. Monte Carlo runs are employed to generate 10,000 different realizations of load levels from which they find the conditional probability density functions for each of the three proximity indicators (rules). The study is conducted on a 5-bus system.
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4 citations in Scopus
Details
- Title
- Decision fusion of voltage stability indicators for small sized power systems
- Creators
- D Sam - Drexel UniversityC NwankpaD NieburIEEE
- Publication Details
- 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262), v 3(SUMMER), pp 1658-1663 vol.3
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000176406700342
- Scopus ID
- 2-s2.0-0035791768
- Other Identifier
- 991019170359804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Energy & Fuels
- Engineering, Electrical & Electronic