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dc.contributor.authorSepehry, Mojtaba
dc.contributor.authorHeidari-Kapourchali, Mohammad
dc.contributor.authorRahman, Md Rakib Ur
dc.contributor.authorAravinthan, Visvakumar
dc.identifier.citationM. Sepehry, M. Heidari-Kapourchali, M. R. U. Rahman and V. Aravinthan, "A New Algorithm for Reliability Assessment of Distribution System Based on Reliability Network Equivalent Technique," 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Boise, ID, 2018, pp. 1-5en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper proposes an algorithm to incorporate the reliability network equivalent concept into reliability assessment of complex radial distribution networks (RDNs). Using this concept, there is no need to analyze the system response to every single contingency. Instead, the equivalent impact of a group of contingencies is used to decrease the network dimension. In the proposed algorithm, the reduction takes place at protection zones. The topology of the network is given in matrix form. In different steps, this matrix is modified to derive new matrices, which are then used to perform network reduction, fault isolation, upstream and downstream restoration, and integration of the unsuccessful operation of protective devices. Use of the matrix form makes the algorithm straightforward to implement. The Roy Billinton Test System (RBTS) is used to validate computational efficiency of the proposed algorithm.en_US
dc.description.sponsorshipPower Systems Engineering Research Center (PSerc) [T-53].en_US
dc.relation.ispartofseries2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS);
dc.subjectReliability evaluationen_US
dc.subjectRadial distribution networken_US
dc.subjectReliability network equivalenten_US
dc.titleA new algorithm for reliability assessment of distribution system based on reliability network equivalent techniqueen_US
dc.typeConference paperen_US
dc.rights.holder© 2018, IEEEen_US

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