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Power flow state estimator using two-layer neural network structure

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dc.contributor.authors Ayan, K; Arifoglu, U;
dc.date.accessioned 2020-02-27T07:01:45Z
dc.date.available 2020-02-27T07:01:45Z
dc.date.issued 2004
dc.identifier.citation Ayan, K; Arifoglu, U; (2004). Power flow state estimator using two-layer neural network structure. ELECTRIC POWER SYSTEMS RESEARCH, 69, 258-249
dc.identifier.issn 0378-7796
dc.identifier.uri https://doi.org/10.1016/j.epsr.2003.09.001
dc.identifier.uri https://hdl.handle.net/20.500.12619/64975
dc.description.abstract This paper is devoted to the development of a neural network structure which implements the line,power flow state estimator algorithm for solving the set of nonlinear equations of power system automatic generation control analysis. The principal context is that of on-line network analysis in energy management systems with particular reference to the automatic generation control function. The author shows that the complete line power flow state estimator formulation maps into an array of two-layer neural networks. The development starts from a formulation for solving as a minimization the equation system to which the state estimator sequence leads at the each iteration. A neural network structure is given which implements the steepest descent method for minimizing the objective function. It is shown that some of the input values of neural networks are formed from power flow measurements as on-line. A principal feature of the extensive parallel processing capability of the architecture developed is that the computing time of state estimator analysis is independent of the number of nodes in a power network for which analysis is carried out. (C) 2003 Elsevier B.V. All rights reserved.
dc.language English
dc.publisher ELSEVIER SCIENCE SA
dc.subject Engineering
dc.title Power flow state estimator using two-layer neural network structure
dc.type Article
dc.identifier.volume 69
dc.identifier.startpage 249
dc.identifier.endpage 258
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor Ayan, Kürşat
dc.contributor.saüauthor Arifoğlu, Uğur
dc.relation.journal ELECTRIC POWER SYSTEMS RESEARCH
dc.identifier.wos WOS:000189134900016
dc.identifier.doi 10.1016/j.epsr.2003.09.001
dc.identifier.eissn 1873-2046
dc.contributor.author Ayan, Kürşat
dc.contributor.author Arifoğlu, Uğur


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