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Soib Taib
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Development of Smart System for Renewable Energy Hybrid Power System Base on SCADA . Suriadi; Soib Taib; Mohd Shawal Jadin; Azman Nordin
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 2, No 2 (2012): Engineering
Publisher : Syiah Kuala University

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Abstract

This paper presents the development of smart energy monitoring and control system for Renewable Energy Hybrid Power Generation System (REHPGS) using SCADA. REHPGS model consists of photovoltaic, wind and gen-set system. SCADA is used to monitor and control the operation of Hybrid Power System (HPS) in real time. This paper planned a concept of smart grid by VisconDua Remote Terminal Unit (RTU)-IO Module. The RTU is responsible to collect information from power HPS plant. SCADA Expert controller is introduced to automatically control renewable energy sources. The monitoring and control system of REHPGS operated in real time and can perform under various operating conditions. The HPS plant will be fully automated, which mean the power plant would rely on the SCADA system on all its operations. Results show that the proposed system has the capability to monitor and optimize the output power generation of REHPGS
Evaluating the Thermal Condition of Electrical Equipment via IRT Image Analysis Mohd Shawal Jadin; Soib Taib; . Suriadi
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 2, No 2 (2012): Engineering
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.384 KB)

Abstract

The integrity of electrical power equipment is of paramount importance when itsupplies electricity throughout a facility. However, the reliability of the equipments will degraded after sometime, and appropriate maintenance has to be taken accordingly to avoid future faults. Infrared thermography (IRT) image analysis is a commonly used technique for diagnosing the reliability of electrical equipments. Conventionally, the analysis of infrared image is done manually and takes very long time for further analysis. This paper proposes an automatic thermal fault detection and classification system for evaluating thecondition of electrical equipment by analyzing its infrared image. First, the image is segmented to find the target region of interest (ROI). The detected regions which have the same region properties are grouped together in order to remove the unwanted regions. Finally, statistical features from each detected region are extracted and classified using the support vector machine (SVM) algorithm. The thermal condition of electrical equipments is evaluated based on qualitative measurement technique. The experimental result shows that the proposed system can detect and classify the thermal condition of electrical equipments.
Co-Authors . Suriadi Azman Nordin Mohd Shawal Jadin