Synchrophasor Communication over Internet: Performance Analysis of different Methods based on Real Experiences

The work is devoted to the development of software for forecasting the quality of electricity in an automated system for diagnosing the quality of electricity consumers using cloud technologies. The existing domestic and foreign methods for monitoring the quality of electricity using the technology of synchronized vector measurements are analyzed. The structural scheme of the technology of diagnostics of electricity quality as a new direction at the junction of sciences – information technologies and energy is developed. Based on the experimental data of electricity quality indicators obtained from the synchrophasor, an array of data (dataset) was formed for further processing. Two statistical methods were chosen to study the data and forecast the indicators of electricity quality – the nearest neighbors and ridge regression. With the help of standard Phyton programming language libraries, reading and primary data processing, plotting, statistical processing and implementation of forecasting models were performed. The analysis of the obtained forecast graphs is performed and it is concluded that according to the normalized data the accuracy of the Ridge regression model is higher by 10-15%. The WEB-interface of the system for interactive interaction and visualization of indicators with the output of tables and graphs for analysis, graphical representation and display of the results of diagnostics of electricity quality is designed and developed.

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Automated Monitoring of Time Synchronisation Devices and Digital Processing of Vector Measurements of Dynamic Characteristics of Smart Grid Power Systems

Koval¹,

Lysenko²,

Kiktev³

et al. 2022

Tehnìka ta energetika

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Currently, customers of energy companies use devices to generate electricity (solar panels, windmills, etc.) and return energy to the grid to save costs or generate income. Therefore, it is urgent to solve the problem of creating an automated system for diagnosing the quality of electricity for consumers who use renewable sources of electricity. The purpose of this study was to improve the efficiency of management in intelligent SMART Grid power systems. To fulfil the said purpose, it was proposed to use an automated system for monitoring synchro signals of PMU microprocessor equipment and software tools for digital processing and statistical analysis of the results of synchronised vector measurements of dynamic characteristics of power grids. Software tools for digital processing and statistical analysis of the obtained vector measurement data were developed. Linear regression, Random Forest Regression, and Ridge regression methods were employed to analyse and predict electricity quality indicators. The results of a comparative analysis of the obtained results of the predictive model were presented. To conduct experimental studies, a laboratory sample of a quality control device for generating synchro signals was developed and manufactured, which directly affects the reliability of digital data from distributed synchronised vector measurements in transient modes (in real time). The multichannel nature of the device increases the performance and reliability of the automated monitoring system. The paper presents the results of experimental studies of the device as a part of the developed laboratory stand, which is connected to the current local IP network of the National University of Life and Environmental Sciences of Ukraine. The practical significance of the conducted experimental studies lies in the establishment of the technical possibility of simultaneous monitoring of time synchronisation signals generated by two GPS receivers. In this case, it is obvious to increase the performance of the developed and manufactured device for monitoring the quality of clock signal generation, compared to a single-channel one. This material can be useful for engineers who design electrical systems connected to renewable energy sources.

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Synchrophasor Communication over Internet: Performance Analysis of different Methods based on Real Experiences

Cited by 3 publications

References 9 publications

Design and Implementation of a low-cost PMU: validation by tests and performance during 2019 Argentinean blackout

Design and Implementation of a low-cost PMU: validation by tests and performance during 2019 Argentinean blackout

Determination of Forecast Indicators of Electricity Quality in Mode of Synchronized Vector Measurements

Automated Monitoring of Time Synchronisation Devices and Digital Processing of Vector Measurements of Dynamic Characteristics of Smart Grid Power Systems

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