Adaptive Movement Penalty Method For The Newton Optimal Power Flow

dc.creatorMonticelli A.
dc.creatorLiu Wen-Hsiung E.
dc.date1992
dc.date2015-06-30T14:21:33Z
dc.date2015-11-26T14:43:05Z
dc.date2015-06-30T14:21:33Z
dc.date2015-11-26T14:43:05Z
dc.date.accessioned2018-03-28T21:50:59Z
dc.date.available2018-03-28T21:50:59Z
dc.identifier
dc.identifierIeee Transactions On Power Systems. , v. 7, n. 1, p. 334 - 342, 1992.
dc.identifier8858950
dc.identifier10.1109/59.141723
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0026819734&partnerID=40&md5=c511d4cec8f8ab87a8960d2268c98d46
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/99493
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/99493
dc.identifier2-s2.0-0026819734
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1251528
dc.descriptionThe authors address the determination of the set of active constraints in optimal power flows based on the Newton approach. An adaptive method for handling movement penalties is proposed. The method uses information about the size of the pivots in the factorization of the Hessian matrix to selectively introduce movement penalties whenever it is strictly necessary. Thus, because movement penalties are only used when required, the number of state variables whose movement is penalized is greatly reduced. The main advantage presented by the method is that it ensures positive definitiveness without negatively affecting the convergence characteristics. No tuning is necessary, which is convenient for real-time applications. Test results carried out on two network models of actual power systems (100 and 1650 buses) are reported.
dc.description7
dc.description1
dc.description334
dc.description342
dc.languageen
dc.publisher
dc.relationIEEE Transactions on Power Systems
dc.rightsfechado
dc.sourceScopus
dc.titleAdaptive Movement Penalty Method For The Newton Optimal Power Flow
dc.typeArtículos de revistas


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