Mathematical Model Changing the Value of the Process of Leakage Current in 0.38 kV Networks-Reference-Cited by-同舟云学术

Mathematical Model Changing the Value of the Process of Leakage Current in 0.38 kV Networks

Published:2019 Issue: Volume: Page:339-347
ISSN:
Container-title:Modern Development Paths of Agricultural Production
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Author:

Gerasymenko Viacheslav^ORCID,Kozyrskyi Volodymyr^ORCID,Maiborodina Natalia^ORCID,Kovalov Oleksandr^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-14918-5_35

Reference9 articles.

1. Sun, D.S.: Research on voltage-chopping and energy-saving controlling technology for three-phase AC asynchronous motor. Adv. Mater. Res. 433–440, 1033–1037 (2012). https://doi.org/10.4028/www.scientific.net/amr.433-440.1033

2. Hung, N.T., Thien, N.C., Nguyen, T.P., Le, V.S., Tuan, D.A.: Optimization of electric energy in three-phase induction motor by balancing of torque and flux dependent losses. In: Lecture Notes in Electrical Engineering, pp. 497–507 (2014). https://doi.org/10.1007/978-3-642-41968-3_50

3. Grouni, S., Ibtiouen, R., Kidouche, M., Touhami, O.: Novel loss optimization in induction machines with optimum rotor flux control. Int. J. Syst. Control. 1(4), 163–169 (2010)

4. Kosmodamianskii, A.S., Vorob’ev, V.I., Pugachev, A.A.: Induction motor drives with minimal power losses. Russ. Electr. Eng. 83(12), 667–671 (2012). https://doi.org/10.3103/s1068371212120073

5. Kozyrsky, V., Gerasimenko, V., Mayborodina, N.: Increased reliability of protection against leakage currents in networks of 0.38 kV. Eng. Technol. Agroindustrial Complex 2(29), 22–24 (2012)

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