Optimal setting of TCSCs in power systems using teaching–learning-based optimisation algorithm-Reference-Cited by-同舟云学术

Optimal setting of TCSCs in power systems using teaching–learning-based optimisation algorithm

Published:2014-12-27 Issue:5 Volume:26 Page:1249-1256
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Rezaee Jordehi A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-014-1791-x.pdf

Reference30 articles.

1. Jordehi AR, Jasni J (2011) A comprehensive review on methods for solving FACTS optimization problem in power systems. Int Rev Electr Eng 6(4):1916–1926

2. Jordehi AR, Jasni J (2012) Approaches for FACTS optimization problem in power systems: In power engineering and optimization conference (PEDCO) Melaka, Malaysia, 2012 IEEE International. IEEE

3. Rezaee Jordehi A et al (2013) Particle swarm optimisation applications in FACTS optimisation problem. In Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International. 2013. IEEE

4. Hingorani NG, Gyugyi L, El-Hawary M (2000) Understanding FACTS: concepts and technology of flexible AC transmission systems. Vol. 1. IEEE press, New York

5. Jordehi Rezaee A et al (2005) Enhanced leader PSO (ELPSO): a new algorithm for allocating distributed TCSC’s in power systems. Int J Electr Power Energy Syst 64:771–784

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