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Adaptive optimal control of electric power system operation mode on the basis of least action principle

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Active-adaptive system of electric power system (EPS) modes control, using its ideal (“economic”) mode is suggested. The process of optimal control is constructed in such a manner that EPS current mode by means of control facilities approaches to “economic” mode. Direction, change of EPS current mode parameters are realized for its improvement and they are determined according to the least action principle (LAP). System of automatic control performs optimization actions in the direction, set by LAP, changing parameters of regulation facilities and controlls limitations of EPS mode parameters.
Rocznik
Strony
61--65
Opis fizyczny
Bibliogr. 13 poz., fig.
Twórcy
  • Department of Electrical Stations and Systems, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
  • Department of Electrical Stations and Systems, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
  • Department of Electrical Stations and Systems, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
  • Department of Electrical Stations and Systems, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
Bibliografia
  • 1. Burbelo M.J., Pijarski P., Zavadskiy V., Koczorowska-Gazda A., Lyudmyla M. Melnychuk L. M., Loboda Y. V. Measurement of reactive power under asymmetrical nonsinusoid modes of electric networks with earthed neutral. Proceedings of SPIE, 2016.
  • 2. Feinman R., Leiton P., Sends M. Feinmanian lectures on physics Least action principle. M., MIR. Publishing House, 1966, 94-119.
  • 3. Kacejko P., Machowski J., Pijarski P. Standing phase angle reduction at switching operation in transmission network. Rynek Energii nr 5(96), 2011, 24-35.
  • 4. Kacejko P., Pijarski P. Connecting of wind farms – limitations instead of oversized investment. Rynek Energii nr 1(80), 2009, 10-15.
  • 5. Kacejko P., Pijarski P. Cost sharing on the network upgrade individual investors applying for connection to a network of wind farms. Przegląd Elektrotechniczny. (9a)88, 2012, 27-31.
  • 6. Kacejko P., Pijarski P. Dynamic Fitting of Generation Level to Thermal Capacity of Overhead Lines. Przegląd Elektrotechniczny, 84(5), 2008, 80-83.
  • 7. Kothari D.P., Dhillon J.S.. Power system optimization. Prentice-Hall of India, New Delhi 2007.
  • 8. Kyrylenko O.V., Segeda M.S., Butkevytch O.F. Mazur T.A. Mathematical modeling in electric power engineering. Lviv: Lviv Polytechnika, Publishing House, 2013, 608.
  • 9. Lezhniuk P.D., Kulyk V.V. Usage of least action principle as the mechanism of natural optimization in SMART GRID technologies. Tehnichna electrodynamika 4, 2014, 32–34.
  • 10. Montusiewicz J., Gryniewicz_Jaworska M., Pijarski P.: Looking for the optimal location for wind farms. Advances in science and technology research journal. 27(9), 2015, 135-142.
  • 11. Sage A.P., White Ch, C. Optimum systems control. Prentice-Hall, Inc. Englewood Cliffs, New Jersey, 1977.
  • 12. Trace Mode SCADA/HMI is a high-tech software platform for process automation, remote control, monitoring, energy/resources metering and building automation. Access: http://www. tracemode.com.
  • 13. Wydra M., Kacejko P. Power system state estimation accuracy enhancement using temperarture measurements of overhead line conductors. Metrol. Meas. Syst., 23(2), 2016, 183-192.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b5953702-3e94-4bab-a798-ac79e53d7c20
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