Document Type : Research Paper

Authors

Computer Engineering Department, Collage of Engineering, University of Mosul

Abstract

Today electricity supplement still has power failures and blackouts due to the lack of automated analysis and the utility's low visibility over the grid. Small and undetected electrical problems can have far-reaching consequences. These failures cause not only high-energy losses, but also costly unscheduled outages, severe injury to employees, and even a fire. Therefore, the monitoring of electrical substations is essential to detect faults and ensure long-term safe operation, safety, protection, and reliability. Internet of things technology provides the possibility of obtaining station data in real-time. In this research, two systems were designed, implemented, and tested in high voltage electric stations. The first part is designed to obtain data on the environmental conditions at the substations, and the important parameters from the transmission lines at the substations in real-time, which help to prevent power outages by relying on engineers who can analyze comprehensively the electrical energy. The system also provides the Automatic Under Frequency Load Shedding ability if the frequency in the stations falls below the normal limit, which contributes to maintain the efficiency and the quality of electrical energy in the substations, and provides protection for the substations. The second part is designed to obtain the values of the parameters that determine the electrical transformers' conditions and monitors the status of the line in terms of switching off and on in real-time at the substations. Thus, these proposed systems are transforming the traditional substations into smart substations. The performance of the system is introduced based on correlation of data and percentage error. The best correlation was for the current data and the least percentage error was for the current. We strongly believed that the proposed system is vesible.

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