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Regulating steady-state voltage deviation using fuzzy logic

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Regulacja odchylenia napięcia w stanie ustalonym za pomocą logiki rozmytej
Języki publikacji
EN
Abstrakty
EN
A model of regulation of steady voltage deviation using fuzzy logic was proposed for the problem of normalizing voltage quality in the network. On the basis of simulation, the effectiveness of the proposed algorithms is shown. The control algorithm based on fuzzy logic is considered as an alternative to the transition from analogue control to the digital tap-changer control system. The results of the work can be used in the design of the substation for introduction into the power system.
PL
W artykule zaproponowano model regulacji stałego odchylenia napięcia z wykorzystaniem logiki rozmytej dla problemu normalizacji jakości napięcia w sieci. Na podstawie symulacji wykazano skuteczność proponowanych algorytmów. Algorytm sterowania oparty na logice rozmytej jest rozważany jako alternatywa dla przejścia od sterowania analogowego do cyfrowego systemu sterowania przełącznikiem zaczepów. Wyniki pracy mogą być wykorzystane przy projektowaniu podstacji do wprowadzenia do systemu elektroenergetycznego.
Rocznik
Strony
9--14
Opis fizyczny
Bibliogr. 38 poz., rys.
Twórcy
  • American University of Madaba, Al-Balqa Applied University, Department of Electrical and Electronics Engineering, Al Salt 19117, Jordan
  • Al-Balqa Applied University
autor
  • State Biotechnological University, Department of Automation and Computer-Integrated Technologies, 61052 Kharkiv, Ukraine
  • State Biotechnological University, Department of Automation and Computer-Integrated Technologies, 61052 Kharkiv, Ukraine
  • Kharkiv National University of Radio Electronics, Department of Electronic Computers, 61166, Kharkiv, Ukraine
  • State Biotechnological University, Department of Automation and Computer-Integrated Technologies, 61052 Kharkiv, Ukraine
autor
  • GVA Lighting, Inc, L6H6X5, Oakville, Ontario, Canada
  • University of Ruse, Bulgaria
  • University of Agriculture in Krakow, Faculty of Production and Power Engineering, Balicka Av. 116B, 30-149 Krakow
Bibliografia
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  • [2] DSTU EN 50160:2014. Characteristics of power supply voltage in general-purpose electrical networks. Instead of DSTU EN 20160:2010; Input 05/20/2014. Kyiv: Ministry of Economic Development of Ukraine, (2014), 32
  • [3] Feng J., et al., Evaluating Demand Response Impacts on Capacity Credit of Renewable Distributed Generation in Smart Distribution Systems. IEEE Access, 6, (2018), 14307-14317, https://doi.org/10.1109/ACCESS.2017.2745198
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  • [12] Feng J., et al., Evaluating Demand Response Impacts on Capacity Credit of Renewable Distributed Generation in Smart Distribution Systems. IEEE Access, (2018) 6, 14307-14317. https://doi.org/10.1109/ACCESS.2017.2745198.
  • [13] Karaiev O., Bondarenko L., Halko S., Miroshnyk O., Vershkov O., Karaieva T., Shchur T., Findura P., Prístavka M., Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves. Acta Technologica Agriculturae, 24, (2021), 3, 119-123. https://doi.org/10.2478/ata-2021-0020
  • [14] Suslov K., Solonina N., Gerasimov D., Assessment of an impact of power supply participants on power quality. 18th International Conference on Harmonics and Quality of Power (ICHQP), Ljubljana, Slovenia, (2018), 1-5. https://doi.org/10.1109/ICHQP.2018.8378836
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  • [16] Alghamdi, B., Fuzzy Logic–Based Decentralized Voltage– Frequency Control and Inertia Control of a VSG-Based Isolated Microgrid System. Energies 15, (2022), 8401. https://doi.org/10.3390/en15228401
  • [17] Tymchuk S., Miroshnyk O., Assess electricity quality by means of fuzzy generalized index. Eastern-European Journal of Enterprise Technologies, 3/4, (2015), 75, 26-31. https://doi.org/10.15587/1729-4061.2015.42484
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  • [21] Tymchuk, S., Shendryk, S., Shendryk, V., Panov, A., Kazlauskaite, A., Levytska, T., Decision-Making Model at the Management of Hybrid Power Grid. In: Lopata, A., Butkienė, R., Gudonienė, D., Sukackė, V. (eds) Information and Software Technologies. ICIST 2020. Communications in Computer and Information Science, (2020), 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-59506-7_6
  • [22] Rubanenko O., et al., Hydroelectric Power Generation for Compensation Instability of Non-guaranteed Power Plants, 2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS), Istanbul, Turkey, (2020), 52-56, https://doi.org/10.1109/IEPS51250.2020.9263151
  • [23] Verrelli C.M., Tomei P. Adaptive learning control for nonlinear systems: A single learning estimation scheme is enough. Automatica, 149, (2023), 110833
  • [24] Panov A. A., Tymchuk S. A., Fuzzy algorithm for regulation of steady-state voltage deviation in the 0.4 kV electrical network. Tallinn: United Journal, (2019), 26, 31-37
  • [25] Castro J.R., Saad M., Lefebvre S., Asber D., Lenoir L., Coordinated Voltage Control in Distribution Network with the Presence of DGs and Variable Loads Using Pareto and Fuzzy Logic. Energies 9, (2016), 107. https://doi.org/10.3390/en9020107
  • [26] Li Y., Niu B., Zong G., Zhao J., Zhao, X., Command filterbased adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation. Int. J. Syst. Sci. (2022), 53, 199- 221
  • [27] Lezhenkin O., Halko S., Miroshnyk O., Vershkov O., Lezhenkin I., Suprun O., Shchur T., Kruszelnicka W., Kasner R., Investigation of the separation of combed heap of winter wheat. Journal of Physics: Conference Series, 1781, (2020), 012016, International Conference on Applied Sciences (ICAS 2020). https://doi.org/10.1088/1742-6596/1781/1/012016
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  • [30] Panov A. O., Development of an algorithm for regulating the steady deviation of voltage in 0.4-10 kV distribution networks, in All Ukr. Sci. and Pract. Conf. of Higher Education Graduates and Young Scientists, Kharkiv: KhNADU, (2021), 170-174.
  • [31] Qawaqzeh M., Miroshnyk O., Shchur T., Kasner R., Idzikowski A., Kruszelnicka W., Tomporowski A., Bałdowska-Witos P., Flizikowski J., Zawada M., Doerffer K., Research of Emergency Modes of Wind Power Plants Using Computer Simulation. Energies. 14(16), (2021), 4780. https://doi.org/10.3390/en14164780
  • [32] Panov, A., Tymchuk, S., Model of regulation of electricity quality indicators in distribution networks 0.4-10 kV. Bulletin of the Cherkasy State Technological University, (2023), 2, 13-23. https://doi.org/10.24025/2306-4412.2.2023.275897
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  • [34] Trunova I., et al., The perfection of motivational model for improvement of power supply quality with using the one-way analysis of variance, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2019), 6, 163-168. https://doi.org/10.29202/nvngu/2019-6/24
  • [35] Panov A., Tymchuk S., Fuzzy algorithm for regulation of reverse and zerosequence voltage asymmetry coefficients. 4th Int. Sci. and Pract. Conf. Perspectives of world science and education, Japan: CPN Publishing Group, (2019), 670-679
  • [36] Khasawneh A, Qawaqzeh M, Kuchanskyy V, Rubanenko O, Miroshnyk O, Shchur T, Drechny M. Optimal Determination Method of the Transposition Steps of An Extra-High Voltage Power Transmission Line. Energies, 14(20), (2021), 6791. https://doi.org/10.3390/en14206791
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ad06f76-fa38-41d2-8c10-a99acfc0f66a
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