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Tay Lea Tien
Universiti Sains Malaysia

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Climate change detection in penang island using deterministic interpolation methods Chang Kok Yang; Fam Pei Shan; Tay Lea Tien
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp412-419

Abstract

This paper presents detection of climate change in Penang Island by using precipitation data based on interpolation technique. Climate change brings about vast and everlasting effects on all living creatures on the Earth. These effects are especially detrimental towards heritage sites, landscapes and businesses based in Penang Island, Malaysia. This study focuses mainly on investigating the indication of climate change in Penang Island over the period of 2003-2018 by utilising sound application procedures of proven analysis methods. Two deterministic interpolation methods are used to produce new estimation points based on the precipitation data to enrich the monitoring network of rainfall stations in Penang Island. Monthly and monthly-average precipitation maps for Penang Island are produced by using inverse distance weighting interpolation method. Results reveal that seven out of twelve months of a year show increasing precipitation trends over the period of study and March is the only month that shows a decreasing trend in precipitation. Monthly-average precipitation in Penang Island also displays a gradual trend of precipitation increase over the period of study, further conforming the finding of monthly precipitation increase over the period of study. The finding of this study provides insight for local agriculturists and ministry to make better decision in response to climate change in Penang.
Comparison study of fault location on distribution network using PSCAD and DIgSILENT power factory by using matching approaches Lilik J. Awalin; Tasnim Tasnim; Tay Lea Tien; Hadi Suyono
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp78-85

Abstract

This paper presents the comparative study between PSCAD and DIgSILENT in order to detect fault location on underground distribution network. If a fault occurs in the distribution network, it will generate the voltage dips and over current. It is possible to record the signal output in the primary substation. However, for the research purpose, some of the researcher may use different simulation program. The simulation program may have different performance to generate voltage and current signal when fault simulated. So, it is important to observe the performance of each simulation software. Due to every simulation software may have different advantages, this paper will observe the accuracy of fault distance calculation based on simulation data on the distribution model and when all types of fault are applied to the different simulation program, namely PSCAD and DIgSilent. The matching approach was adopted to calculate the fault distance. To observe the performance of the simulation program, the distance error calculation for every type of fault are compared. By using a matching approach, the PSCAD simulation program produces more accurate fault distance compare with DIgSILENT. However, it may contribute different result if different method and tested network applied.
Co-Authors Chang Kok Yang Fam Pei Shan Lilik J. Awalin Suyono, Hadi Tasnim Tasnim