Research on the optimisation strategy of short‐circuit current limitation based on quantum genetic algorithm-Reference-Cited by-同舟云学术

Research on the optimisation strategy of short‐circuit current limitation based on quantum genetic algorithm

Published:2019-01-21 Issue:16 Volume:2019 Page:3270-3275
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Yang Jianlin¹,Ji Yuan¹,Guo Mingxing¹,Qiao Weidong¹,Fei Fei¹,Zhang Mengyao¹

Affiliation:

1. State Grid Shanghai Electric Power Company Economic Research InstituteShanghai 200122People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8785

Reference14 articles.

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2. Influence of UHV grid on short‐circuit current of Tianjin 500 kV grid and its restrictive measures;Luo T.;Electr. Power Constr.,2015

3. A fast calculation method for short circuit current of distribution network with numerous distributed resources;Sun Y.;Electr. Power Constr.,2016

4. The situation and countermeasures of short‐circuit current control in shanghai power grid;Ruan Q.;Power Syst. Technol.,2005

5. Divisional power supply solutions in Tianjin 500/220 kV power grid during the period of 11th five‐year plan;Liu S.;Power Syst. Technol.,2008

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