Keywords: text recognition, mobile application, computer vision, algorithm
ADAPTIVE CONTROL SYSTEM FOR ELIMINATING THE ASYMMETRICITY OF PHASE LOAD IN A THREE-PHASE NETWORK 0.4 KV
UDC 517.977
DOI: 10.26102/2310-6018/2019.27.4.015
The relevance of the study is due to the basic requirements of the Federal Law of November 23, 2009 No. 261-ФЗ "On energy conservation and on improving energy efficiency and on amendments to certain legislative acts of the Russian Federation." The paper considers the possibility of creating a complex of control and management of the quality of electricity in 10 / 0.4 kV distribution networks, especially in remote and inaccessible areas of rural areas. The problem of the mismatch of the quality of energy supplied by network and energy supply organizations with the requirements of GOST is the physical and moral deterioration of energy equipment, the mismatch of the technical parameters of power lines with the current level of energy consumption, and the amount of energy loss. This study aims to reconstruct electrical networks and improve the quality of energy supplied to consumers. The result is achieved by the use of adaptive systems based on monitoring and controlling the state parameters of the electric network (electric voltage, electric current, power factor, active and reactive power), intelligent distribution of electric capacities between consumers.The materials of the work are of practical value for energy network, design organizations and enterprises for the sale of electrical equipment, as well as for consumers of electricity.
1. Alexandrov A. G. Optimal and adaptive systems - M.: Higher school; 2003.
2. GOST 32144-2013 Electric energy. Electromagnetic compatibility of technical equipment. The quality standards of electric energy in general-purpose power supply systems, Available from: http: // www.garant.ru / (Accessed December 5, 2019).
3. Vasiliev F. P. Optimization methods. M.: Factorial Press; 2002.
4. Granichin O.N. Introduction to stochastic optimization and estimation methods: a tutorial. - SPb: publishing house of St. Petersburg University; 2003.
5. Klichkov V. N. Models and methods of statistical control of a multi-parameter technological process M.: FIZMATLIT; 2011.
6. Kramer G. Mathematical methods of statistics. M.: World; 1976.
7. Lisiev G.A., Popova I.V. Decision support technologies: textbook. allowance. M.: FLINTA; 2011.
8. Lotov A. V., Pospelova I. I. Multicriteria decision-making problems: Textbook. M.: MAX Press; 2008.
9. Menkov A. V., Ostreykovsky V. A. Theoretical foundations of automated control. M.: Onyx; 2005.
10. Saati T. Decision Making. Hierarchy Analysis Method. M.: Radio and communications; 1993.
11. Saleev D. V. Analysis of multicriteria optimization methods used in the management of technological processes. Modeling, optimization and information technology. 2013;2 (2):11.
Keywords: text recognition, mobile application, computer vision, algorithm
For citation: Klimenko Y.A. Preobrazhensky A.P. Choporov O.N. ADAPTIVE CONTROL SYSTEM FOR ELIMINATING THE ASYMMETRICITY OF PHASE LOAD IN A THREE-PHASE NETWORK 0.4 KV. Modeling, Optimization and Information Technology. 2019;7(4). URL: https://moit.vivt.ru/wp-content/uploads/2019/11/KlimenkoSoavtors_4_19_1.pdf DOI: 10.26102/2310-6018/2019.27.4.015 (In Russ).
Published 31.12.2019