@inproceedings{722e537d5539486abcb4a0eb69e40995,
title = "Two-phase particle swarm optimization for load flow analysis",
abstract = "In this work, PSO is applied to solve power flow problem. For efficient search, some parameters in PSO are investigated and parameter sensitivity analyses are carried out to find the optimum value for the relevant parameters. We further recommend a set of optimal PSO settings applied in Two-phase Particle Swarm Optimization in tackling power flow problem. Results show remarkable improvement in comparison to original PSO and Constrained Genetic Algorithm Power Flow (CGAPF).",
author = "Ting, \{T. O.\} and Wong, \{K. P.\} and Chung, \{C. Y.\}",
year = "2006",
month = oct,
doi = "10.1109/ICSMC.2006.385213",
language = "English",
isbn = "1424401003",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2345--2350",
booktitle = "2006 IEEE International Conference on Systems, Man and Cybernetics",
note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",
}