The application of fuzzy logic algorithms in controllers for controlling the use of renewable energy sources

• Autorzy: Syrotyuk Serhiy , Halchak Volodymy , Lopushniak Vasyl , Korobka Serhii , Syrotyuk Hanna , Stanytskyy Taras , Yankovska Kateryna , Jakubowski Tomasz , Giełżecki Jan , Boltyanskyi Boris

Identyfikatory

DOI

10.15199/48.2025.02.30

Warianty tytułu

PL

Zastosowanie algorytmów fuzzy logic w sterownikach do kontroli wykorzystania odnawialnych źródeł energii

• Języki publikacji: EN

Abstrakty

EN

Optimal management of renewable energy devices in conditions of high variability and stochastic nature of energy supply and consumption is difficult to solve using conventional control methods. Management should be based on Fuzzy Logic algorithms, neural networks and genetic algorithms. This direction, due to its simplicity and proximity to biological systems, is widespread in various fields of scientific and industrial activity.

PL

Optymalne zarządzanie urządzeniami wytwarzającymi energię odnawialną w warunkach dużej zmienności i stochastycznego charakteru dostaw i zużycia energii jest trudne do rozwiązania za pomocą konwencjonalnych metod sterowania. Zarządzanie powinno być oparte o algorytmy Fuzzy Logic, sieci neuronowe i algorytmy genetyczne. Kierunek ten, ze względu na swoją prostotę i bliskość układów biologicznych, jest szeroko rozpowszechniony w różnych dziedzinach działalności naukowej i przemysłowej.

Słowa kluczowe

EN

renewable energy source; fuzzy logic controller; solar hot water system; short-term weather forecast; fuzzy logic algorithm

PL

odnawialne źródła energii; OZE; sterownik fuzzy logic; instalacja solarna do podgrzewania wody; krótkoterminowa prognoza pogody; algorytm Fuzzy Logic

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2025
• Tom: R. 101, nr 2
• Strony: 125--132
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Syrotyuk Serhiy

• Lviv National Environmental University, Department of Energy

• https://orcid.org/0000-0001-9966-6299

autor

Halchak Volodymy

• Lviv National Environmental University, Department of Energy

• https://orcid.org/0000-0002-6831-8344

autor

Lopushniak Vasyl

• https://orcid.org/0000-0001-9596-8169

autor

Korobka Serhii

• Lviv National Environmental University, Department of Energy

• https://orcid.org/0000-0002-4717-509X

autor

Syrotyuk Hanna

• Lviv National Environmental University, Department of Economics

• https://orcid.org/0000-0002-8740-7959

autor

Stanytskyy Taras

• Lviv National Environmental University, Department of Energy

• https://orcid.org/0009-0006-3897-4267

autor

Yankovska Kateryna

• Lviv National Environmental University, Department of Accounting and Taxation

• https://orcid.org/0000-0001-7371-1178

autor

Jakubowski Tomasz

• University of Agriculture in Krakow, Faculty of Production and Power Engineering

• https://orcid.org/0000-0002-5141-2705

autor

Giełżecki Jan

• University of Agriculture in Krakow, Faculty of Production and Power Engineering

• https://orcid.org/0000-0002-4996-4252

autor

Boltyanskyi Boris

• Dmytro Motornyi Tavria State Agrotechnological University, Zaporozhye, Faculty of Mechanical Engineering, Department of Machine Operation and Technical Service

• https://orcid.org/0000-0003-2072-4025

Bibliografia

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• [11] Sridharan M., Jayaprakash G., Chandrasekar M., Vigneshwar P., Paramaguru S., Amarnath K., Prediction of Solar Photovoltaic/Thermal Collector Power Output Using Fuzzy Logic, 2018, Access Mode: https://asmedigitalcollection.asme.org/solarenergyengin eering/article-abstract/140/6/061013/366282/Prediction-of- Solar-Photovoltaic-Thermal-Collector?redirec-tedFrom=fulltext
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• [14] Racharla S., Rajan K, Kumar K.R.S., A Fuzzy Logic Controlled Single Axis Solar Tracking System, 2015, Access Mode: https://www.researchgate.net/publication/282461924_ A_Fuzzy_Logic_Controlled_Single_Axis_Solar_Tracking_Syste m 15] Syrotiuk V., Syrotyuk S., Ptashnyk V., Тryhuba А., Baranovych S., Gielzecki J., Jakubowski T., A hybrid system with intelligent control for the processes of resource and energy supply of a greenhouse complex with application of energy renewable sources, Przegląd Elektrotechniczny, Vol 2020, Nr 7. P. 149- 153, http://pe.org.pl/articles/2020/7/28.pdf, DOI 10.15199/48.2020.07.28
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• [17] LabVIEW: PID and Fuzzy Logic Toolkit User Manual, - Texas, 2009, 126, Access mode: http://www.ni.com/pdf/manuals- /372192d.pdf
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• [21] Gielzecki, J., Jakubowski, T. The Simulation of Temperature Distribution in a Ground Heat Exchanger-GHE Using the Autodesk CFD Simulation Program. In Proceedings of the 4th International Conference on Renewable Energy Sources (ICORES), Krynica, Poland, 19–21 September 2018, pp. 333- 343, DOI: 10.1007/978-3-319-72371-6_32.