Distribution system performance evaluation accounting for data uncertainty
The effects of uncertain input data on the performance evaluation of a distribution system are analyzed. A criterion is introduced for assessing the grade of uncertainty of the results obtained in the calculation of maximum loads, voltage drops, energy losses, and characteristic reliability indices...
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Veröffentlicht in: | IEEE transactions on power delivery 2003-07, Vol.18 (3), p.694-700 |
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description | The effects of uncertain input data on the performance evaluation of a distribution system are analyzed. A criterion is introduced for assessing the grade of uncertainty of the results obtained in the calculation of maximum loads, voltage drops, energy losses, and characteristic reliability indices of a network if some input parameters are only guesses based on limited experience, measurements, and/or statistical data. Reasonable outputs bounds are determined based upon the shape of the function measuring the uncertainty. High uncertainty of a result obtained indicates that a re-examination of relevant uncertain input data would be recommendable for a more precise quantification. The method proposed is applied to a real life example for illustration. |
doi_str_mv | 10.1109/TPWRD.2003.813868 |
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The method proposed is applied to a real life example for illustration.</description><subject>Accounting</subject><subject>Criteria</subject><subject>Electric potential</subject><subject>Energy loss</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Mathematical analysis</subject><subject>Performance analysis</subject><subject>Performance evaluation</subject><subject>Power system modeling</subject><subject>Power system reliability</subject><subject>Quality</subject><subject>Shape measurement</subject><subject>System performance</subject><subject>Uncertainty</subject><subject>Voltage</subject><subject>Voltage drop</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1LAzEQhoMoWKs_QLwsHvS0dbLJbpKjWD8pKFLxGNLsrGzZj5pkhf5701YQPHiaw_u8MwwPIacUJpSCupq_vL9OJxkAm0jKZCH3yIgqJlKegdwnI5AyT6US4pAceb8EAA4KRuRpWvvg6sUQ6r5L_NoHbJMVuqp3reksJvhlmsFsU2NtP3Sh7j6SGCelCSYZIuOCqbuwPiYHlWk8nvzMMXm7u53fPKSz5_vHm-tZalnOQmqwRKWKvMpLk1cyU4JTZfIcSs6tWuSlrSggxBdKsaAGFfIFEwYtlZJnxrIxudztXbn-c0AfdFt7i01jOuwHrxXQQigQLJIX_5KZzAqRZUUEz_-Ay35wXfxCb47ygjMVIbqDrOu9d1jplatb49aagt5I0FsJeiNB7yTEztmuUyPiLx-dMM7YN5p2hFY</recordid><startdate>20030701</startdate><enddate>20030701</enddate><creator>Nahman, J.</creator><creator>Peric, D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Accounting Criteria Electric potential Energy loss Fuzzy logic Fuzzy systems Mathematical analysis Performance analysis Performance evaluation Power system modeling Power system reliability Quality Shape measurement System performance Uncertainty Voltage Voltage drop |
title | Distribution system performance evaluation accounting for data uncertainty |
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