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dc.contributor.authorDash, P K-
dc.contributor.authorRoutray, A-
dc.contributor.authorRahman, S-
dc.identifier.citationProceedings of the Second International Forum on Applications of Neural Networks to Power Systems, ANNPS '93., 19-22 April 1993, Yokohama, P 218-223en
dc.descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractThe paper presents a new approach to the design of a supplementary stabilizing controller for a HVDC transmission link using fuzzy logic. The fuzzy controller relates significant and observable variables like speed and its rate of the generator speed and its rate of change of the generator to a control signal for the rectifier current regulator loop using fuzzy membership functions. These variables evaluate the control rules using the compositional rules of inference. The fuzzy controller is equivalent to a nonlinear PI controller, whose gains are adapted depending on the error and its rate of change. The effectiveness of the proposed controller is demonstrated by simulation studies on a DC transmission link connected to a weak AC power system and subjected to transient disturbancesen
dc.format.extent420652 bytes-
dc.subjectDC power transmissionen
dc.subjectadaptive controlen
dc.subjectfuzzy controlen
dc.subjectfuzzy logicen
dc.subjectpower system interconnectionen
dc.titleAn adaptive fuzzy logic controller for AC-DC power systemsen
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