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Practical distribution state estimation using hybrid particle swarm optimization
Abstract
This paper proposes a practical distribution system state estimation method using a hybrid particle swarm optimization. The proposed method considers nonlinear characteristics of the practical equipment and actual measurements in distribution systems. The method can estimate load and distributed generation output values at each node by minimizing the difference between measured and calculated state variables. The feasibility of the proposed method is demonstrated and compared with the original PSO on practical distribution system models. The results indicate the applicability of the proposed state estimation method to practical distribution systems.
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Cited by
Particle swarm optimization: developments, applications and resources
Eberhart, & Shi, Y. (2001) · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) · doi:10.1109/cec.2001.934374 · Cited by 4,310
The particle swarm optimization algorithm: convergence analysis and parameter selection
Trelea, I. C. (2003) · Information Processing Letters · doi:10.1016/s0020-0190(02)00447-7 · Cited by 2,644
Sengupta, S., Basak, S., & Peters, R. (2018) · Machine Learning and Knowledge Extraction · doi:10.3390/make1010010 · Cited by 543
El-Zonkoly, A. M. (2011) · IET Generation, Transmission & Distribution · doi:10.1049/iet-gtd.2010.0676 · Cited by 323
Optimal allocation, sizing of PHEV parking lots in distribution system
El-Zonkoly, A., & dos Santos Coelho, L. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.12.026 · Cited by 92
Metadata
- Authors
- Naka, S., Genji, T., Yura, T., & Fukuyama, Y.
- Venue
- 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)
- Publisher
- IEEE
- Published
- 2002-11-13
- Volume
- 2
- Pages
- 815-820
- OpenAlex
- W2102954583
- Cited by
- 178
- References
- 0
- FWCI
- 6.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Naka, S., Genji, T., Yura, T., & Fukuyama, Y. (2002). Practical distribution state estimation using hybrid particle swarm optimization. 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194). https://doi.org/10.1109/pesw.2001.916969
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