The Optimization Strategy of Loop Closing Operation in Self-Healing Distribution Network

Shi Dong Zhang; Li Sheng Li; Hong Lin Zhao; Xing Quan Ji

doi:10.4028/www.scientific.net/AMM.519-520.1375

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520The Optimization Strategy of Loop Closing...

The Optimization Strategy of Loop Closing Operation in Self-Healing Distribution Network

Abstract:

Self-healing is the most important feature of smart distribution network. This paper analyzes the mathematic model and the optimization scenario of the loop closing power supply switching operation in the self-healing frame. An effective distribution network loop closing optimization strategy is proposed, which is significant for reducing loop closing operation risk and increasing the stability of power supply.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

1375-1378

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.1375

Citation:

Cite this paper

Online since:

February 2014

Authors:

Shi Dong Zhang, Li Sheng Li*, Hong Lin Zhao, Xing Quan Ji

Keywords:

Distribution Network, Loop Closing, Optimization Strategy, Self-Healing

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* - Corresponding Author

References

[1] YU Yixin, Interlli-D-Grid for the 21st century [J]. Southern Power System Technology Research, 2(6): 14-16, ( 2006).

Google Scholar

[2] AMIN M. Energy Infrastructure defense system [J]. Proceedings of the IEEE, 93(5): 861-875, (2005).

Google Scholar

[3] Yu Yixin, Luan Wenpeng, Smart grid and its implementations, Proceedings of the CSEE, vol. 34, no. 29, pp.1-8, ( 2010).

Google Scholar

[4] AMIN A. EPRI/DOD Complex Interactive Network/Systems Initiative: Self-Healing Infrastructure[C], Proceedings ofthe 2nd DARPA-JFACC Symposium on Advances in EnterpriseControl, July 10-11, Minneapolis, MN, USA, (2000).

Google Scholar

[5] XU Dongjie, HE Renmu, WANG Peng，et a1. Comparison of several PM U Placement Algorithms for State Estimation1 [C]/Eighth IEE International Conference on Developments in Power System Protection, Amsterdam, Holand：28-31, (2004).

DOI: 10.1049/cp:20040056

Google Scholar

[6] WANG Jiaming, Liu Dong, HE Weiguo, et al. Muti-Objective optimization of distribution network operation mode based onAHP[J]. Automation of Electric Power Systems, 36(4): 56-61, (2012).

Google Scholar

[7] LIU Jian, YUN Baoji, CUI Qi, et, al. A Distributed Intelligent Feeder Automantion System with Fast Self-healing Performance[J]. Automantion of Electric Power Systems, 34(10): 62-66., (2010).

Google Scholar

[8] MOSLEHI K, KUMER A B R, SHEURTLEFF D, et al. Framework for a Self-Healing Power Grid[C]. Proceedings of IEEE Power Engineering Society General Meeting, June 12-16, Montreal, Canada, (2005).

DOI: 10.1109/pes.2005.1489709

Google Scholar