N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement-Reference-Cited by-同舟云学术

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N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
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Author:

Popovtsev Vladislav,Ignatiev Danil,Snegirev Denis

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8964551/8982252/08982261.pdf?arnumber=8982261

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiobjective Optimization in the Problem of SVC Placement Using N-1 Approach and Population-Based Algorithms;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

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