Overhead power lines magnetic field reducing in multi-story building by active shielding means
Keywords:overhead power lines with phase conductors triangle arrangements, magnetic field, system of active shielding, Computer simulation, experimental research
Aim. Reducing of magnetic flux density of magnetic field in multi-storey building, generated by overhead power lines to the sanitary standards level by active shielding means. The tasks of the work are the synthesis, computer simulation and experimental research of three-circuits system of active shielding, which includes three shielding coils. Methodology. When synthesizing the system of active shielding of magnetic field, are determined their number, configuration, spatial arrangement and of shielding coils as well as the shielding coils currents and resulting magnetic flux density value in the shielding space. The synthesis is based on the multi-criteria game decision, in which the payoff vector is calculated on the basis on quasi-stationary approximation solutions of the Maxwell equations. The game decision is based on the stochastic particles multiswarm optimization algorithms. Results. Computer simulation and experimental research of three-circuit system of active shielding of magnetic field, generated by overhead power lines with phase conductors triangle arrangements in multi-storey building are given. The possibility of initial magnetic flux density level reducing in multi-storey building to the sanitary standards level is shown. Originality. For the first time to reducing of magnetic flux density of magnetic field in multi-storey building the synthesis, computer simulation and experimental research of three-circuit system of active shielding of magnetic field generated by single-circuit overhead power line with phase conductors triangular arrangements carried out. Practical value. Practical recommendations from the point of view of the practical implementation on reasonable choice of the spatial arrangement of three shielding coils of three-circuit system of active shielding of the magnetic field generated by single-circuit overhead power line with phase conductors triangular arrangements in multi-storey building are given.
Rozov V.Yu., Grinchenko V.S., Yerisov A.V., Dobrodeyev P.N. Efficient shielding of three-phase cable line magnetic field by passive loop under limited thermal effect on power cables. Electrical Engineering & Electromechanics, 2019, no. 6, pp. 50-54. doi: https://doi.org/10.20998/2074-272x.2019.6.07.
Rozov V., Grinchenko V. Simulation and analysis of power frequency electromagnetic field in buildings closed to overhead lines. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, UKraine, 2017, pp. 500-503. doi: https://doi.org/10.1109/ukrcon.2017.8100538.
Rozov V.Yu., Kundius K.D., Pelevin D.Ye. Active shielding of external magnetic field of built-in transformer substations. Electrical Engineering & Electromechanics, 2020, no. 3, pp. 24-30. doi: https://doi.org/10.20998/2074-272x.2020.3.04.
Rozov V.Y., Zavalnyi A.V., Zolotov S.M., Gretskikh S.V. The normalization methods of the static geomagnetic field inside houses. Electrical Engineering & Electromechanics, 2015, no. 2, pp. 35-40. doi: https://doi.org/10.20998/2074-272x.2015.2.07.
Salceanu A., Paulet M., Alistar B.D., Asiminicesei O. Upon the contribution of image currents on the magnetic fields generated by overhead power lines. 2019 International Conference on Electromechanical and Energy Systems (SIELMEN). 2019. doi: https://doi.org/10.1109/sielmen.2019.8905880.
Del Pino Lopez J.C., Romero P.C. Influence of different types of magnetic shields on the thermal behavior and ampacity of underground power cables. IEEE Transactions on Power Delivery, Oct. 2011, vol. 26, no. 4, pp. 2659-2667. doi: https://doi.org/10.1109/tpwrd.2011.2158593.
Ippolito L., Siano P. Using multi-objective optimal power flow for reducing magnetic fields from power lines. Electric Power Systems Research, Feb. 2004, vol. 68, no. 2, pp. 93-101. doi: https://doi.org/10.1016/s0378-7796(03)00151-2.
Barsali S., Giglioli R., Poli D. Active shielding of overhead line magnetic field: Design and applications. Electric Power Systems Research, May 2014, vol. 110, pp. 55-63. doi: https://doi.org/10.1016/j.epsr.2014.01.005.
Bavastro D., Canova A., Freschi F., Giaccone L., Manca M. Magnetic field mitigation at power frequency: design principles and case studies. IEEE Transactions on Industry Applications, May 2015, vol. 51, no. 3, pp. 2009-2016. doi: https://doi.org/10.1109/tia.2014.2369813.
Beltran H., Fuster V., García M. Magnetic field reduction screening system for a magnetic field source used in industrial applications. 9 Congreso Hispano Luso de Ingeniería Eléctrica (9 CHLIE), Marbella (Málaga, Spain), 2005, pр. 84-99. Available at: https://www.researchgate.net/publication/229020921_Magnetic_field_reduction_screening_system_for_a_magnetic_field_source_used_in_industrial_applications (Accessed 28.10.2020).
Bravo-Rodríguez J., Del-Pino-López J., Cruz-Romero P. A Survey on Optimization Techniques Applied to Magnetic Field Mitigation in Power Systems. Energies, 2019, vol. 12, no. 7, p. 1332. doi: https://doi.org/10.3390/en12071332.
Canova A., del-Pino-López J.C., Giaccone L., Manca M. Active Shielding System for ELF Magnetic Fields. IEEE Transactions on Magnetics, March 2015, vol. 51, no. 3, pp. 1-4. doi: https://doi.org/10.1109/tmag.2014.2354515.
Canova A., Giaccone L. Real-time optimization of active loops for the magnetic field minimization. International Journal of Applied Electromagnetics and Mechanics, Feb. 2018, vol. 56, pp. 97-106. doi: https://doi.org/10.3233/jae-172286.
Canova A., Giaccone L., Cirimele V. Active and passive shield for aerial power lines. Proc. of the 25th International Conference on Electricity Distribution (CIRED 2019), 3-6 June 2019, Madrid, Spain. Paper no. 1096. Available at: https://www.cired-repository.org/handle/20.500.12455/290 (Accessed 28.10.2020).
Canova A., Giaccone L. High-performance magnetic shielding solution for extremely low frequency (ELF) sources. CIRED - Open Access Proceedings Journal, Oct. 2017, vol. 2017, no. 1, pp. 686-690. doi: https://doi.org/10.1049/oap-cired.2017.1029.
Celozzi S. Active compensation and partial shields for the power-frequency magnetic field reduction. 2002 IEEE International Symposium on Electromagnetic Compatibility, Minneapolis, MN, USA, 2002, vol. 1, pp. 222-226. doi: https://doi.org/10.1109/isemc.2002.1032478.
Celozzi S., Garzia F. Active shielding for power-frequency magnetic field reduction using genetic algorithms optimization. IEE Proceedings - Science, Measurement and Technology, 2004, vol. 151, no. 1, pp. 2-7. doi: https://doi.org/10.1049/ip-smt:20040002.
Celozzi S., Garzia F. Magnetic field reduction by means of active shielding techniques. WIT Transactions on Biomedicine and Health, 2003, vol. 7, pp. 79-89. doi: https://doi.org/10.2495/ehr030091.
Buriakovskyi S.G., Maslii A.S., Pasko O.V., Smirnov V.V. Mathematical modelling of transients in the electric drive of the switch – the main executive element of railway automation. Electrical Engineering & Electromechanics, 2020, no. 4, pp. 17-23. doi: https://doi.org/10.20998/2074-272X.2020.4.03.
Ostroverkhov M., Chumack V., Monakhov E., Ponomarev A. Hybrid Excited Synchronous Generator for Microhydropower Unit. 2019 IEEE 6th International Conference on Energy Smart Systems (ESS), Kyiv, Ukraine, 2019, pp. 219-222. doi: https://doi.org/10.1109/ess.2019.8764202.
Ostroverkhov M., Chumack V., Monakhov E. Ouput Voltage Stabilization Process Simulation in Generator with Hybrid Excitation at Variable Drive Speed. 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), Lviv, Ukraine, 2019, pp. 310-313. doi: https://doi.org/10.1109/ukrcon.2019.8879781.
Tytiuk V., Chornyi O., Baranovskaya M., Serhiienko S., Zachepa I., Tsvirkun L., Kuznetsov V., Tryputen N. Synthesis of a fractional-order PIλDμ-controller for a closed system of switched reluctance motor control. Eastern-European Journal of Enterprise Technologies, 2019, no. 2 (98), pp. 35-42. doi: https://doi.org/10.15587/1729-4061.2019.160946.
Zagirnyak M., Chornyi O., Zachepa I. The autonomous sources of energy supply for the liquidation of technogenic accidents. Przeglad Elektrotechniczny, 2019, no. 5, pp. 47-50. doi: https://doi.org/10.15199/48.2019.05.12.
Chornyi O., Serhiienko S. A virtual complex with the parametric adjustment to electromechanical system parameters. Technical Electrodynamics, 2019, pp. 38-41. doi: https://doi.org/10.15407/techned2019.01.038.
Shchur I., Kasha L., Bukavyn M. Efficiency Evaluation of Single and Modular Cascade Machines Operation in Electric Vehicle. 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 2020, pp. 156-161. doi: https://doi.org/10.1109/tcset49122.2020.235413.
Shchur I., Turkovskyi V. Comparative Study of Brushless DC Motor Drives with Different Configurations of Modular Multilevel Cascaded Converters. 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 2020, pp. 447-451. doi: https://doi.org/10.1109/tcset49122.2020.235473.
Sushchenko O.A., Shyrokyi O.V. H2/H∞ optimization of system for stabilization and control by line-of-sight orientation of devices operated at UAV. 2015 IEEE International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), Kyiv, UKraine, 2015, pp. 235-238. doi: https://doi.org/10.1109/apuavd.2015.7346608.
Sushchenko O.A., Golitsyn V.O. Data processing system for altitude navigation sensor. 2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), Kiev, Ukraine, 2016, pp. 84-87. doi: https://doi.org/10.1109/msnmc.2016.7783112.
Gal’chenko, V.Y., Vorob’ev, M.A. Structural synthesis of attachable eddy-current probes with a given distribution of the probing field in the test zone. Russian Journal of Nondestructive Testing, Jan. 2005, vol. 41, no. 1, pp. 29-33. doi: https://doi.org/10.1007/s11181-005-0124-7.
Halchenko, V.Y., Ostapushchenko, D.L. & Vorobyov, M.A. Mathematical simulation of magnetization processes of arbitrarily shaped ferromagnetic test objects in fields of given spatial configurations. Russian Journal of Nondestructive Testing, Sep. 2008, vol. 44, no. 9, pp. 589-600. doi: https://doi.org/10.1134/S1061830908090015.
Chystiakov P., Chornyi O., Zhautikov B., Sivyakova G. Remote control of electromechanical systems based on computer simulators. 2017 International Conference on Modern Electrical and Energy Systems (MEES), Kremenchuk, Ukraine, 2017, pp. 364-367. doi: https://doi.org/10.1109/mees.2017.8248934.
Zagirnyak M., Bisikalo O., Chorna O., Chornyi O. A Model of the Assessment of an Induction Motor Condition and Operation Life, Based on the Measurement of the External Magnetic Field. 2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS), Kharkiv, 2018, pp. 316-321. doi: https://doi.org/10.1109/ieps.2018.8559564.
Ummels M. Stochastic Multiplayer Games Theory and Algorithms. Amsterdam University Press, 2010. 174 p.
Shoham Y., Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, 2009. 504 p.
Ray T., Liew K.M. A Swarm Metaphor for Multiobjective Design Optimization. Engineering Optimization, 2002, vol. 34, no. 2, pp. 141-153. doi: https://doi.org/10.1080/03052150210915.
Zilzter Eckart. Evolutionary algorithms for multiobjective optimizations: methods and applications. PhD Thesis Swiss Federal Institute of Technology, Zurich, 1999. 114 p.
Xiaohui Hu, Eberhart R.C., Yuhui Shi. Particle swarm with extended memory for multiobjective optimization. Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), Indianapolis, IN, USA, 2003, pp. 193-197. doi: https://doi.org/10.1109/sis.2003.1202267.
Pulido G.T., Coello C.A.C. A constraint-handling mechanism for particle swarm optimization. Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), Portland, OR, USA, 2004, vol. 2, pp. 1396-1403. doi: https://doi.org/10.1109/cec.2004.1331060.
Michalewicz Z., Schoenauer M. Evolutionary Algorithms for Constrained Parameter Optimization Problems. Evolutionary Computation, 1996, vol. 4, no. 1, pp. 1-32. doi: https://doi.org/10.1162/evco.19188.8.131.52.
Parsopoulos K.E., Vrahatis M.N. Particle swarm optimization method for constrained optimization problems. Proceedings of the Euro-International Symposium on Computational Intelligence, 2002, pp. 174-181.
Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu. Swarm Intelligence and Bio-Inspired Computation: Theory and Applications, Elsevier Inc., 2013. 450 p.
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Copyright (c) 2021 B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, V. V. Kolomiets, B .B. Kobylianskiy
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