Development of automatic pitch angle control mathematical model for type-4 wind turbines specialized hybrid processor

• Autorzy: Razzhivin Igor , Suvorov Aleksey , Andreev Mikhail , Askarov Alisher

Identyfikatory

DOI

10.15199/48.2021.03.11

Warianty tytułu

PL

System sterowania kątem w turbinie wiatrowej typu-4 z wykorzystanie specjalizowanego procesora hybrydowego

• Języki publikacji: EN

Abstrakty

EN

The goal of this paper is to synthesize the intelligent pitch angle control system under variable wind conditions for the specialized processor that reproduces the operating modes of type-4 wind turbines in real time in the specialized software-hardware hybrid simulation tool. The control schemes using main strategies of a conventional control and an intelligent control with a fuzzy logic have been discussed. The strategy based on a combined pitch control system was adopted. As a result, the authors designed and implemented a comprehensive mathematical model for pitch angle control of wind turbines. The RTDS hardware-software tool was used as a reference for model validation. The results showed a fairly good similarity, therefore, the developed model can be applied to control the pitch angle in a hybrid model of type-4 wind turbines for wind power plants simulating in the large-scale electric power system.

PL

Przedstawiono system sterowania katą turbiny wiatrowej w czasie rzeczywistym. Do sterowania wykorzystano elementy logiki rozmytej. Wykorzystano oprogramowanie i sprzęt. Przeprowadzono symulacje dla różnych prędkości turbiny wiatrowej.

Słowa kluczowe

EN

wind turbine; pitch angle control; hybrid simulation

PL

turbina wiatrowa; sterowanie kąta; procesor hybrydowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2021
• Tom: R. 97, nr 3
• Strony: 60--63
• Opis fizyczny: Bibliogr. 23 poz., rys.

Twórcy

autor

Razzhivin Igor

• Tomsk Polytechnic University, 30, Lenin Avenue, Tomsk, Russia

autor

Suvorov Aleksey

• Tomsk Polytechnic University, 30, Lenin Avenue, Tomsk, Russia

autor

Andreev Mikhail

• Tomsk Polytechnic University, 30, Lenin Avenue, Tomsk, Russia

autor

Askarov Alisher

• Tomsk Polytechnic University, 30, Lenin Avenue, Tomsk, Russia

Bibliografia

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• [19] Suvorov, A., Gusev, A., Ruban, N., Andreev, M., Askarov, A., & Stavitsky, S. (2019). The Hybrid Real-Time Dispatcher Training Simulator: Basic Approach, Software-Hardware Structure and Case Study, International Journal of Emerging Electric Power Systems, 20(1), 20180165. doi: https://doi.org/10.1515/ijeeps- 2018-0165
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).