Peak Load Prediction Using Fuzzy Logic For The 150 kV Sulselrabar System

Muhammad, Ruswandi Djalal and Andareas, Pangkung and Sonong, Sonong and Apollo, Apollo (2018) Peak Load Prediction Using Fuzzy Logic For The 150 kV Sulselrabar System. Journal of Information Technology and Computer Science (JITeCS), 3 (1). pp. 49-59. ISSN e-ISSN: 2540-9824, p-ISSN: 2540-9433


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Prediction of electrical load on 150 kV Sulselrabar electrical system, analyzed using approach at night peak load using Fuzzy Logic based intelligent method. The peak load characteristics are certainly different from the load in normal time, therefore a special approach is needed to predict the peak night load. As input data will be used data of night peak load in 2010 until 2015, on the same day and date, each 4 days before day-H or day date which will be predicted load. For the data processing stage is divided into several stages, namely pre-processing, processing, and post-processing. The load data processing follows several procedures, ie computing WDmax, LDmax, TLDmax and VLDmax each year. Data processing is processed using excel software and then using Matlab software to run Fuzzy Logic. From the analysis results obtained, Error Prediction The peak evening load is very small that is equal to -0.070033687%. As comparison data used actual day-H data is April 2016. The graph of analysis result also shown in this paper.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Department of Mechanical Engineering > Teknik Pembangkit Energi
Depositing User: admin admin pnup
Date Deposited: 08 Aug 2018 04:06
Last Modified: 08 Aug 2018 04:06

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