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dc.contributor.authorยุคะลัง, สวัสดิ์
dc.date.accessioned2015-05-20T05:06:34Z
dc.date.available2015-05-20T05:06:34Z
dc.date.issued2015-05-20
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/1552
dc.descriptionวารสารวิชาการและวิจัย มทร.พระนคร, ฉบับพิเศษ : 134-144en_US
dc.description.abstractThis paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectLoad Frequency Controlen_US
dc.subjectการควบคุมความถี่ - โหลดen_US
dc.subjectFuzzy Logicen_US
dc.subjectArtificial Neural Networken_US
dc.subjectโครงข่ายประสาทเทียมen_US
dc.subjectInterconnected Power Systemen_US
dc.subjectระบบไฟฟ้าเชื่อมโยงen_US
dc.titleComparison of load-frequency control of interconnected power system with fuzzy logic and artificial neural Network controlleren_US
dc.typeJournal Articlesen_US
dc.contributor.emailauthoryu_sawat@hotmail.comen_US


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