Automated control system for the operation of renewable electricity sources using a decision tree algorithm

Authors

  • N. Kiktev National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Osypenko Kyiv National University of Technologies and Design image/svg+xml
  • М. Panasiuk Taras Shevchenko National University of Kyiv image/svg+xml
  • Ye. Molitvin Taras Shevchenko National University of Kyiv image/svg+xml

DOI:

https://doi.org/10.31548/energiya2022.01.095

Abstract

Effectively addressing the new challenges of renewable energy management requires innovations in power system modeling, operation and management. Through the efficient use of renewable energy sources, control systems are able to meet load demand and minimize energy costs.

The aim of the study is to develop and create a distributed information system for analyzing, processing and storing meteorological data, improving the methodology for choosing the most efficient source of electricity, calculating and forecasting energy consumption indicators.

The article describes the developed information system for the efficient use of renewable energy sources, which provides storage of meteorological information and decision-making on the appropriateness of using an energy source. Weather information is represented by the number of the station from which information is transmitted, the date and time of the research, the ultraviolet index, the wind power index, and the coordinate on the map. The operator has the ability to perform weather analysis for each station separately to plan the efficient operation of renewable electrical energy. The calculation of the power of the generated energy is performed, and its prediction is also performed based on the ARIMA model. The database is built on a relational data model, the PHP programming language and the phpMyAdmin DBMS were used to develop the application. Also, the Internet services Google Map API (to determine the coordinates of the location of the source of renewable energy of the settlement) and weatherbit.io (to determine the weather) were used.

Key words: electricity, renewable sources, cost, stations, weather conditions, forecasting, distributed information system, database, program, graphical interface

References

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Published

2022-06-06

Issue

No. 1 (2022)

Section

Статті

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