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IoT-Based SCADA System Design and Generation Forecasting for Hydropower Station

A. K. Myint, K. Z. Latt, T. T. Hla, and N. M. Tun
Department of Electronic Engineering, Mandalay Technological University, Mandalay, Myanmar

Abstract—This paper points out controlling to the generator of power station, collecting the required information of the station, analyzing the communication metrics of the SCADA system and predicting the electricity production without hydrological events based on the historical data under the IoT-based SCADA system. SCADA system based on the IoT is the modernization of the SCADA system for hydropower station to get the required information and to conduct the power station for balancing with the national grid in a timely manner. This system supports the varieties of the information of the station such as alarm system, data monitoring and control system, data logging and generated capacity, and so on. Moreover, the performance of the IoT-based SCADA system such as communication metrics is analyzed by using the data packet analyzer and WiFi analyzer. In addition, historical data (generated electricity) is used to analyze and detect the circumstance of the production of hydropower stations and to predict the production for coming year by using the time series analysis. In this research, the actual historical data of the Yeywa hydropower station which is collected by on-ground recording is used for statistical analysis of generated capacity. 
Index Terms—SCADA, IoT, data packet analyzer, WiFi analyzer, historical data analysis, time series analysis

Cite: A. K. Myint, K. Z. Latt, T. T. Hla, and N. M. Tun, "IoT-Based SCADA System Design and Generation Forecasting for Hydropower Station," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 10, No. 4, pp. 251-260, July 2021. Doi: 10.18178/ijeetc.10.4.251-260

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.