350 rub
Journal Neurocomputers №3 for 2019 г.
Article in number:
Predicative fuzzy control of a synchronous compensator
Type of article: scientific article
DOI: 10.18127/j19998554-201903-10
UDC: 621.311.23:629.12
Authors:

Yu. N. Khizhnyakov – Dr.Sc. (Eng.), Professor, Department of Automatics and Telemechanics, Perm National Research Polytechnic University

S. A. Storozhev – Undergraduate Student, Department of Automatics and Telemechanics, Perm National Research Polytechnic University

E-mail: cepra5@mail.ru

Abstract:

Improving the power supply of an industrial company requires the efficient use of transmission lines. Active power transmitted over the line is necessary for the operation of asynchronous motors, to compensate for heat losses in the transmission line, etc. The reactive power transmitted over the line is necessary to create electromagnetic fields in asynchronous motors, saturated reactors, transformers, etc. The transmission of electricity occurs with losses, which leads to additional economic costs. The article proposes to generate the necessary reactive power in the field using synchronous compensators, while relieving the transmission line from reactive power. To stabilize the voltage in the load node, it is necessary to adjust the excitation current of the synchronous compensator in order to generate the necessary reactive (capacitive) power to compensate for the inductive (reactive) power. Stabilization of the voltage in the node eliminates the change in current in the transmission line due to possible disruption of the balance of reactive power. Since there is no mathematical description of the complex load, it is proposed to adjust the excitation current of the synchronous compensator with using a predicate fuzzy voltage regulator. The structure of this regulator includes a fuzzifier, a fuzzy output block with the implementation of the Mamdani algorithm and a defuzzifier (the area difference method). Application of a synchronous compensator is an example of the use of modern energy-saving technologies.

Pages: 68-72
References
  1. Orlov V.S. Snizhenie potrebleniya energii pri kompensatsii reaktivnoj moshchnosti v promyshlennykh setyakh. Promyshlennaya energetika. 1989. № 4. S. 49–50.
  2. Belov D.V., Kordyukov V.V., Titar A.S. Sudovye elektricheskie mashiny. L.: Sudostroenie. 1972.
  3. Khizhnyakov Yu.N., Khomyakov A.V. Nechetkij regulyator napryazheniya sinkhronnogo kompensatora. Izvestiya VUZov. Ser. Elektromekhanika. 2015. № 2 (538). S. 30–35.
  4. Khizhnyakov Yu.N., Khomyakov A.V. Adaptivnoe nechetkoe upravlenie sinkhronnykh kompensatorov s primeneniem nejronnoj tekhnologii. Vestnik IzhGTU. 2014. № 1 (65). S. 112–115.
  5. Konar A. Computational intelligence: Principles, techniques and applications. Springer-Verlag Berlin Heidelberg. 2005.
  6. Siegel D., Hansman J. Development of an autoland system for general aviation aircraft. MIT International Center for Air Transportation. Rep. No. ICAT-2011-09. 2011.
  7. Zadeh L.A. Outline of a new approach to analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics. 1973. V. SMC-3. № 1. P. 28–44.
  8. Martsenyuk M.A., Polyakov V.B., Seletkov I.P. Matrichnaya realizatsiya algoritmov nechetkogo vyvoda // Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Informatika. Telekommunikatsii. Upravlenie. 2012. № 6 (162). S. 133–141.
  9. Martsenyuk M.A. Matrichnoe predstavlenie nechetkoj logiki. Trudy IX Mezhdunar. konf. «Intellektual'nye sistemy i komp'yuternye nauki». MGU. Moskva. 2006. T. 4. S. 32–36.
  10. Martsenyuk M.A. Matrichnoe predstavlenie nechetkoj logiki. Nechetkie sistemy i myagkie vychisleniya. 2007. T. 2. № 3. S. 7–35.
  11. Khizhnyakov Yu.N. Nechetkoe, nejronnoe i gibridnoe upravlenie. Ucheb. posobie. Perm': Izd-vo Perm. nats. issled. politekhn. un-ta. 2013.
  12. Bobyr' M.V., Kalabukhov S.A. Defazzifikatsiya vyvoda iz bazy nechetkikh pravil na osnove metoda raznosti ploshchadej. Vestnik komp'yuternykh i informatsionnykh tekhnologij. 2015. № 9. S. 32–41.
  13. Khizhnyakov Yu.N. Formirovanie vektora napryazheniya na shinakh avtonomnoj elektrostantsii // Izvestiya TPU. 2009. T. 315. № 4. S. 43–46.
Date of receipt: 27 июня 2019 г.