Adaptive neuro-fuzzy controller based STATCOM for reactive power compensator in distribution grid

• Autorzy: Alkhayyat Mahmood T. , Suliman Mohammed Y.

Identyfikatory

DOI

10.15199/48.2022.04.23

Warianty tytułu

PL

Adaptacyjny sterownik STATCOM oparty na neuro-rozmytym kontrolerze dla kompensatora mocy biernej w sieci dystrybucyjnej

• Języki publikacji: EN

Abstrakty

EN

Compensation of reactive power is necessary for reduction the effects caused by the inductive load. To achieve these issues, the utilize power electronics devices are used to control the reactive power flow using static synchronous compensator STATCOM. It is a shunt connected FACTS compensator that provide/withdraw reactive power. This approach is implemented to enhance voltage drop in distribution grid. In this paper, an adaptive neuro-fuzzy logic controller based STATCOM is proposed to regulate the bus voltages of IEEE 9 bus 33kV distribution grid. Method of dq transformation is used for reactive power calculation due to its high accuracy and simple application. Adaptive controller designed based on Sugeno type fuzzy logic rules show that the compensator increases bus voltage about 19%, with damping oscillation during step change compared with the conventional PI controllers.

PL

Kompensacja mocy biernej jest konieczna do zmniejszenia skutków wywołanych obciążeniem indukcyjnym. Aby osiągnąć te problemy, wykorzystuje się urządzenia energoelektroniczne do sterowania przepływem mocy biernej za pomocą statycznego kompensatora synchronicznego STATCOM. Jest to kompensator FACTS połączony z bocznikiem, który dostarcza/odbiera moc bierną. Takie podejście jest wdrażane w celu zwiększenia spadku napięcia w sieci dystrybucyjnej. W niniejszym artykule zaproponowano adaptacyjny sterownik logiki neurorozmytej oparty na STATCOM do regulacji napięć magistrali sieci dystrybucyjnej IEEE 9 33 kV. Metoda transformacji dq jest wykorzystywana do obliczania mocy biernej ze względu na jej dużą dokładność i prostą aplikację. Sterownik adaptacyjny zaprojektowany w oparciu o zasady logiki rozmytej typu Sugeno pokazuje, że kompensator zwiększa napięcie szyny o około 19%, z tłumieniem drgań podczas zmiany skoku w porównaniu z konwencjonalnymi sterownikami PI.

Słowa kluczowe

EN

STATCOM; adaptive neuro-fuzzy controller; voltage enhancement; reactive power controller

PL

STATCOM; sterownik; sieć neuronowa; logika rozmyta

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 4
• Strony: 107--112
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Alkhayyat Mahmood T.

• Mosul, Iraq, Northern Technical University

• https://orcid.org/0000-0001-6119-7845

autor

Suliman Mohammed Y.

• Mosul, Iraq, Northern Technical University

• https://orcid.org/0000-0002-1250-6362

Bibliografia

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• [2] Johnson R. K. Varma and E. M. Siavashi, PV-STATCOM: A New Smart Inverter for Voltage Control in Distribution Systems, IEEE Transactions on Sustainable Energy, vol. 9, no. 4, pp. 1681-1691, 2018, doi: 10.1109/TSTE.2018.2808601
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• [11] Wang C.L. Research on Controlling Measures to Enhance Low Voltage Ride-Through of Wind Farm with DSTATCOM, North China Electric Power University,2015
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• [13] M.T.Alkhayyat and S.M. Bashi, Reduce the Impact of Voltage Sag with Phase Jumping in AC Line Using Unified Power Quality Conditioners UPQC and Open UPQC, 2nd International conference on electrical, communication, computer, power and control engineering ICECCPCE19, Mosul, Iraq, 13-14 2nd February, 2019
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• [17] V. Ponananthi and B. R. Kumar, Three-phase statcom controller using D-Q frame theory for a three-phase SEIG feeding single phase loads, 2nd International Conference on Electronics and Communication Systems (ICECS), pp 926-931, 2015
• [18] Mohammed Y. Suliman,"Voltage profile enhancement in distribution network using static synchronous compensator STATCOM", International Journal of Electrical and Computer Engineering, Vol. 10, No. 4, 2020.
• [19] M. Y. Suliman, M. E. Farrag and S. Bashi, Design of FastReal Time Controller for the SSSC Based on Takagi-Sugeno (TS) Adaptive Neuro-Fuzzy Control System, International Conference on Renewable Energies and Power Quality (ICREPQ’14), vol 1, no 12, pp 1025-1030, 2014
• [20] V. Ponananthi and B. R. Kumar, Three-phase STATCOM controller using D-Q frame theory for a three-phase SEIG feeding single phase loads, Electronics and Communication Systems (ICECS), 2nd International Conference IEEE Conf., Coimbatore, India, 2015,26-27 Feb., pp.926-931, 2015
• [21] M. Y. Suliman and S. S. Al-Juboori, Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theory, International Journal of Energy and Power Engineering, vol 5, no 2, pp. 1-6, 2016
• [22] S. Khuntia, Simulation Study of a SSSC-based Neuro- FuzzyController for Improvement of Transient Stability in a Three-Machine Power System, IEEE energy tech, pp 1-6, 2012
• [23] M. Amirian, Mitigating Sub-Synchronous Resonance Using Static Var Compensator (SVC) Enhanced with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Controller, 27th Iranian Conference on Electrical Engineering (ICEE), pp. 532-538, 2019
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).