Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Uzasadnienie zdolności do topienia lodu w napowietrznej sieci rozdzielczej 6-10 kV w oparciu o modelowanie rozmyte
Języki publikacji
Abstrakty
We developed a fuzzy technical and economic model for optimization the parameters of the ice melting schemes at 6-10 kV OPL of distribution power networks based on which we justified the value of ice melting deposits fusion power, taking into account the uncertainty of initial data.
Opracowano rozmyty model techniczny i ekonomiczny do optymalizacji parametrów schematów topienia lodu w napowietrznych sieciach dystrybucyjnych o napięciu 6-10 kV. Na podstawie tych modeli uzasadniono wartość mocy potrzebnej do stopnienia osadzonego lodu, biorąc pod uwagę niepewność danych początkowych.
Wydawca
Czasopismo
Rocznik
Tom
Strony
106--109
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- Kharkiv Petro Vasylenko National Technical University of Agriculture, Alchevskh, 44, Kharkiv, 61002 Ukraine
autor
- Kharkiv Petro Vasylenko National Technical University of Agriculture, Alchevskh, 44, Kharkiv, 61002 Ukraine
autor
- Kharkiv Petro Vasylenko National Technical University of Agriculture, Alchevskh, 44, Kharkiv, 61002 Ukraine
autor
- Lviv National Agricultural University, St. Vladimir the Great, 1, Dublyany, Ukraine
autor
- Lublin University of Technology, Institute of Electronics and Information Technology, Nadbystrzycka 38A, 20618 Lublin, Poland
autor
- Kazakh Academy of Transport & Communication
Bibliografia
- 1. Farzaneh M., Volat C., Leblond A., Anti-icing and De-icing Techniques for Overhead Lines, Atmospheric Icing of Power Networks Springer, (2008), 229–268
- 2. Scientific and technical report on the topic "Choice of methods and development of suitable schemes for ice melting on the HVL of various voltage classes in the Moldovan energy system" – Chisinau: STC "TehnikaInenergo", 2001.
- 3. Rudakova R., Vavilova I., Golubkov I., Fighting against ice-cold in power grid enterprises: Handbook for organizing the fight against ice / R. Rudakova, I. Vavilova, I. Golubkov – Ufa: OAO Bashkirenergo, Ufa. State Techn. Univ, 1995.
- 4. Toliupa S., Kravchenko Y., Trush A., Organization of implementation of ubiquitous sensor networks, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska - IAPGOS, 8(2018), no. 1., 36-39.
- 5. Bilash I., Savchenko O., Optimization of the ice melting power on the OPL 6-10 kV distribution electrical networks, Problems of power supply and energy saving in the agroindustrial complex of Ukraine, 101(2010), 31–38.
- 6. Mauris G., Lassere V., Foulley L., A fuzzy approach for the expression of uncertainty in measurement, Measurement, (2001), no. 29., 109–121.
- 7. Wojcik W, Bieganski T., Kotyra A., et al., Application of algorithms of forecasting in the optical fibre coal dust burner monitoring system, Proc. SPIE, 3189 (1997), 100-109.
- 8. Tymchuk S., Miroshnyk O., Svergun Y., Avramenko A., Fuzzy assessment of asymmetric modes of rural networks 0,38 / 0,22 kV, Problems of energy supplying and energy saving in the agroindustrial complex of Ukraine 142(2013), 42–44.
- 9. Kłosowski G., Rymarczyk T., Using neural networks and deep learning algorithms in electrical impedance tomography, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska - IAPGOS, 7(2017), no. 3., 99-102.
- 10. Hsiao-Fan W., Ruey-Chyn T., Insight of a fuzzy regression model, Fuzzy Sets and Systems, 112 (2000), no. 3, 355–369.
- 11. Asai K., Wadada D., Iwai S. et al., Applied fuzzy systems, Moscow: Mir, (1993)
- 12. Savchenko O., Investigation of the ice melting on a group of interconnected 6–10 kV OPL on the basis of simulation modeling, Problems of power supply and energy conservation in the AIC of Ukraine, 101(2010), 53–55.
- 13. Miroshnyk O. Tymchuk S., Determination of electric power losses depending on its quality in fuzzy form in rural distribution networks, Eastern-European Journal of Enterprise Technologies, 73(2015), no. 1/8, 4-10.
- 14. Diligensky N., Dymova L., Sevastyanov P., Fuzzy modeling and multicriteria optimization of production systems under uncertainty: technology, economics, ecology, Mechanical Engineering, (2004), 397.
- 15. Buckley J.J., Buckley T.F., Linear and non-linear fuzzy regression: Evolutionary algorithm solutions, Fuzzy Sets and Systems, 112(2000) – no. 3, 381–394.
- 16. Mauris G., Berrah L., Foulloy L., Haurat A., Fuzzy handling of measurement errors in instrumentation, IEEE Transaction and measurement, 49(2000), no.1, 43–58
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9a83f59a-5980-4e8d-bfda-a8547f89afed