Optimal Network Decomposition for Voltage and Reactive Power Control with Discrete Parallel Predator-Prey Brain Storm Optimization-Reference-Cited by-同舟云学术

Optimal Network Decomposition for Voltage and Reactive Power Control with Discrete Parallel Predator-Prey Brain Storm Optimization

Published:2019-06-01 Issue:6 Volume:139 Page:421-427
ISSN:0385-4213
Container-title:IEEJ Transactions on Power and Energy
language:en
Short-container-title:IEEJ Trans. PE

Author:

Ogawa Shota¹,Mori Hiroyuki¹

Affiliation:

1. Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University

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/139/6/139_421/_pdf

Reference18 articles.

1. (1) J. M. Undrill and H. H. Happ: “Automatic Sectionalization of Power System Networks for Network Solution”, IEEE Trans. App. & Syst., Vol. 90, No. 1, pp. 46-52 (1971)

2. (2) G. Gafaro and E. Margarata: “Methods for Optimal Tearing of Electrical Networks”, Int. J. Electr. Power & Energy Syst., Vol. 4, No. 3, pp. 185-191 (1982)

3. (3) A. Sangiovanni-Vincentelli, et al.: “An Efficient Heuristic Cluster Algorithm for Tearing Large-Scale Networks”, IEEE Trans. Circuits & Syst., Vol. 24, No. 12, pp. 709-717 (1977)

4. (4) El-Ghazali Talbi: Metaheuristics from Design to Implementation, A John Wiley & Sons, Hoboken, New Jersey, Canada (2009)

5. (5) S. Kirkpatrick, et al.: “Optimization by Simulated Annealing”, Science, Vol. 220, pp. 671-680 (1983)

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