dc.contributor.author | ยุคะลัง, สวัสดิ์ | |
dc.date.accessioned | 2015-05-20T05:06:34Z | |
dc.date.available | 2015-05-20T05:06:34Z | |
dc.date.issued | 2015-05-20 | |
dc.identifier.uri | http://repository.rmutp.ac.th/handle/123456789/1552 | |
dc.description | วารสารวิชาการและวิจัย มทร.พระนคร, ฉบับพิเศษ : 134-144 | en_US |
dc.description.abstract | This 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.sponsorship | Rajamangala University of Technology Phra Nakhon | en_US |
dc.language.iso | th | en_US |
dc.subject | Load Frequency Control | en_US |
dc.subject | การควบคุมความถี่ - โหลด | en_US |
dc.subject | Fuzzy Logic | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | โครงข่ายประสาทเทียม | en_US |
dc.subject | Interconnected Power System | en_US |
dc.subject | ระบบไฟฟ้าเชื่อมโยง | en_US |
dc.title | Comparison of load-frequency control of interconnected power system with fuzzy logic and artificial neural Network controller | en_US |
dc.type | Journal Articles | en_US |
dc.contributor.emailauthor | yu_sawat@hotmail.com | en_US |