Optimal location and parameters setting of UPFC based on GA and PSO for enhancing power system security under single contingencies-Reference-Cited by-同舟云学术

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Optimal location and parameters setting of UPFC based on GA and PSO for enhancing power system security under single contingencies

Published:2008-07 Issue: Volume: Page:
ISSN:
Container-title:2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century
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Author:

Shaheen H. I.,Rashed G. I.,Cheng S. J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4584435/4595968/04596594.pdf?arnumber=4596594

Cited by 6 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. Allocation of UPFC Using Hybrid Index-Genetic-Simulated Annealing Technique to Improve Static Security of Power Systems;2023 IEEE AFRICON;2023-09-20

2. Comprehensive Survey on Recent Trends in Optimization Methods and Different Facts Controllers-Based Power Quality Improvement System;Sustainable Technology and Advanced Computing in Electrical Engineering;2022

3. Comparative study of Pareto optimal multi objective cuckoo search algorithm and multi objective particle swarm optimization for power loss minimization incorporating UPFC;Journal of Ambient Intelligence and Humanized Computing;2020-05-28

4. Optimal placement method of multi UPFCs to damp power system oscillations;International Transactions on Electrical Energy Systems;2017-05-15

5. A survey on impact assessment of DG and FACTS controllers in power systems;Renewable and Sustainable Energy Reviews;2015-02

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