Dependable Parallel Multi-population Modified Brain Storm Optimization for Distribution State Estimation considering Outliers using Just-In-Time Modeling and Correntropy

Author:

Azuma Daichi1,Fukuyama Yoshikazu1,Oi Akihiro2,Jintsugawa Toru2,Fujimoto Hisashi2

Affiliation:

1. Graduate School of Advanced Mathematical Science, Meiji University

2. R&D Headquarters, Fuji Electric, Co. Ltd.

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference15 articles.

1. (1) F. F. Wu and A. F. Neyer: “Asynchronous Distributed State Estimation for Power Distribution Systems”, Proc. of 10th PSCC (1990)

2. (2) M. E. Baran and A. W. Kelley: “State Estimation for Real-time Monitoring of Distribution Systems”, IEEE Trans. Power Syst., Vol. 9, No. 3, pp. 1601-1609 (1994)

3. (3) S. Naka, S. Toune, T. Genji, T. Yura, Y. Fukuyama, and S. Takayama: “Distribution State Estimation Considering Practical Equipment in Distribution Systems”, T. IEE Japan, Vol. 120-B, No. 12, pp. 1566-1573 (2000) (in Japanese)

4. (4) M. V. L. Kmar, H. A. M. Prasanna, and T. Ananthapadmanabha: “An Artificial Bee Colony algorithm based distribution system state estimation including Renewable Energy Sources”, Proc. of International Conference on Circuit, Power and Computing Technologies (2014)

5. (5) R. Khorshidi, F. Shabaninia, and T. Niknam: “A new smart approach for state estimation of distribution grids considering renewable energy sources”, Energy, Vol. 94, No. 1, pp. 29-37 (2016)

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