Fuzzy logic and probability based real time contingency ranking
Identifieur interne : 001032 ( Istex/Corpus ); précédent : 001031; suivant : 001033Fuzzy logic and probability based real time contingency ranking
Auteurs : J. Nahman ; I. ŠkokljevSource :
- International Journal of Electrical Power and Energy Systems [ 0142-0615 ] ; 1999.
English descriptors
Abstract
A combined fuzzy logic and probability based approach is suggested for ranking of contingencies for power system real time steady-state security evaluation. A contingency is ranked, by taking into account the probability of occurrence, the severity of caused violation of system voltage and thermal rating limits and the amount of curtailed load. The impacts are also evaluated by the number of buses, network branches and load points unfavorably affected by contingencies. All the aforementioned impact types are measured by associated membership grades to the sets of heavy impacts built based upon the past experience of the system operators.
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DOI: 10.1016/S0142-0615(99)00033-2
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<notesStmt><note type="content">Fig. 1: System state-transition diagram.</note>
<note type="content">Fig. 2: Single-line diagram of IEEE RTS [7].</note>
<note type="content">Fig. 3: Operating conditions of IEEE RTS under consideration.</note>
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<abstract lang="en">A combined fuzzy logic and probability based approach is suggested for ranking of contingencies for power system real time steady-state security evaluation. A contingency is ranked, by taking into account the probability of occurrence, the severity of caused violation of system voltage and thermal rating limits and the amount of curtailed load. The impacts are also evaluated by the number of buses, network branches and load points unfavorably affected by contingencies. All the aforementioned impact types are measured by associated membership grades to the sets of heavy impacts built based upon the past experience of the system operators.</abstract>
<note type="content">Fig. 1: System state-transition diagram.</note>
<note type="content">Fig. 2: Single-line diagram of IEEE RTS [7].</note>
<note type="content">Fig. 3: Operating conditions of IEEE RTS under consideration.</note>
<note type="content">Fig. 4: General shape of the membership function in the set of large values.</note>
<note type="content">Fig. 5: Membership functions of contingency ranks in the sets of high, medium and low ranks.</note>
<note type="content">Fig. 6: Membership function for ranking contingency No. 1.</note>
<note type="content">Table 1: Parameter a of the membership functions</note>
<note type="content">Table 2: Results of the contingency analysis</note>
<note type="content">Table 3: Contingencies membership grades and resulting rank</note>
<note type="content">Table 4: Rank lists with regard to various parameters</note>
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