Please use this identifier to cite or link to this item: https://doi.org/10.1007/s40565-016-0249-9
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dc.titlePareto optimal allocation of fault current limiter based on immune algorithm considering cost and mitigation effect
dc.contributor.authorChen, B
dc.contributor.authorWei, L
dc.contributor.authorZhu, Y
dc.contributor.authorZhong, Y
dc.contributor.authorYuan, J
dc.contributor.authorLei, Y
dc.date.accessioned2020-11-17T04:39:07Z
dc.date.available2020-11-17T04:39:07Z
dc.date.issued2017
dc.identifier.citationChen, B, Wei, L, Zhu, Y, Zhong, Y, Yuan, J, Lei, Y (2017). Pareto optimal allocation of fault current limiter based on immune algorithm considering cost and mitigation effect. Journal of Modern Power Systems and Clean Energy 5 (5) : 820-829. ScholarBank@NUS Repository. https://doi.org/10.1007/s40565-016-0249-9
dc.identifier.issn2196-5625
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183505
dc.description.abstractThis paper presents a multi-objective Pareto optimal method for allocation of fault current limiters based on an immune algorithm, which takes into account two objectives of the cost and fault current mitigation effect. A sensitivity factor calculation method based on the rate of fault current mitigation is proposed to reduce the search space and improve the efficiency of the algorithm. In this approach, the objective functions related to the cost and fault current mitigation effect are established. A modified inversion operator based on equal cost is proposed to converge to global optimal solutions more effectively. The proposed algorithm is tested on the IEEE 39-bus system, and obtains the Pareto optimal solutions, from which the user can select the most suitable solutions according to the preferences and relative importance of the objective functions. Simulation results are used to verify the proposed method. © 2016, The Author(s).
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectCosts
dc.subjectOptimal systems
dc.subjectPareto principle
dc.subjectImmune algorithms
dc.subjectInversion operators
dc.subjectMitigation effects
dc.subjectOptimal allocation
dc.subjectPareto optimal solutions
dc.subjectFault current limiters
dc.typeArticle
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1007/s40565-016-0249-9
dc.description.sourcetitleJournal of Modern Power Systems and Clean Energy
dc.description.volume5
dc.description.issue5
dc.description.page820-829
dc.published.statePublished
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