Comparison of Electrical Quantity Characteristics with or without Neural Point on Load Side of 1400MVA Nuclear Power Turbo-generator

Abstract

At the time being, the discussion on comparison of the current and voltage characteristics between with and without neural point on load side about the large nuclear turbo-generator is not sufficient. To investigate the current and voltage characteristics in large nuclear power turbo-generator with alteration of load impendence coefficient with or without neural point on load side, in this paper a 1400MVA nuclear power turbo-generator is selected as a research object and its two-dimensional finite element model is established. By no-load and short-circuit characteristics, the comparison of the armature current and voltage between the two-dimensional finite element method and the experimental value shows preferable consistency and the accuracy of the simulation model is verified. With or without neutral point on load side the finite element simulation model is developed to achieve three-phase current and voltage characteristics with alteration of load impendence coefficient respectively. Then on this basis, the symmetrical method and Fourier transform are harnessed to process the simulation date. Moreover, the positive sequence voltage characteristics, as well as the negative sequence voltage characteristics, is presented. The concrete conclusion in this paper has precious theoretical and practical meanings for over- and light-voltage protection in nuclear power turbo-generators as well.

Keywords:

• neural point
• nuclear power turbo-generator
• current and voltage characteristics
• symmetrical method
• finite element method

Acknowledgments

The authors would like to thank the editor and the reviewers for their great support and kind help.

Funding

This research was funded by National major projects of science and technology in China.

Additional information

Notes on contributors

Pin Lv

Pin Lv received the B.S. and Ph.D. degrees from College of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, China, in 2012 and 2017, respectively. Presently, she is a lecture at Heilongjiang University of Science and Technology. Also, she currently is doing her post-doctoral research at China University of Mining and Technology. Her fields of interest are temperature, force, and magnetic field research of the machines and smart grid.

Baojun Ge

Baojun Ge received the B.S. and Ph.D. degrees from Harbin University of Science and Technology and Harbin Institute of Technology, Harbin, China. Currently, he is working at Harbin University of Science and Technology as a professor. He is also the chief editor of Electric Machines and Control, which is widely known as an EI journal. He is specialized in the design and research of large generators, pumped storage motor, energy converter, and special motor.

Peng Lin

Peng Lin received the B.S., M.S. and Ph.D. degrees from College of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, China, in 2006, 2009, and 2015, respectively. Presently, he is a lecture at Harbin University of Science and Technology. His fields of interest are electric machine theory and technology for integration system design and application, electric machine parameters analysis and fault diagnosis.

Hongsen Zhao

Hongsen Zhao received the B.S, M.S and Ph.D. degrees from College of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, China, in 2009, 2013, and 2018, respectively. He is working at Lishui University from April 2018. His fields of interest are the short circuit fault diagnosis and protection of synchronous generator, the design and optimization of permanent magnet synchronous motor.