Distribution State Estimation using Multiple Stages considering Asynchronous Measurement Data by Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution Strategies-Reference-Cited by-同舟云学术

Distribution State Estimation using Multiple Stages considering Asynchronous Measurement Data by Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution Strategies

Published:2021-06-01 Issue:6 Volume:141 Page:426-439
ISSN:0385-4213
Container-title:IEEJ Transactions on Power and Energy
language:en
Short-container-title:IEEJ Trans. PE

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

Link

https://www.jstage.jst.go.jp/article/ieejpes/141/6/141_426/_pdf

Reference48 articles.

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2. (2) F. F. Wu: “Power System State Estimation: A Survey”, J. Electr. Power & Energy Syst., Vol. 12, No. 2 (1990)

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

4. (4) 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)

5. (5) C. N. Lu, J. H. Teng, and W. E. Liu: “Distribution System State Estimation”, IEEE Trans. Power Syst., Vol. 10, No. 1, pp. 229-240 (1995)

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