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Method to decide a multi-fault rush repair robust strategy in power distribution networks

  • Published:2016-11 Issue: Volume:56 Page:91-101
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhao Hao,Lu Zhigang,Zhang Jiangfeng,Li Xueping,Guo Xiaoqiang,Sun Xiaofeng

Funder

Innovative fund project of Hebei

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference34 articles.

1. Implementing multiagent systems technology for power distribution network control and protection management;Baxevanos;IEEE Trans. Power Deliv.,2007

2. Repair-unit location models for power failures;Yao;IEEE Trans. Eng. Manag.,1998

3. A multi-fault rush repairing strategy for distribution network based on genetic-topology algorithm;Zhang;Autom. Electr. Power Syst.,2008

4. Multi-agent based rush repair scheduling for distribution networks;Lu;Power Syst. Technol.,2013

5. A task allocation strategy of Multi-fault rush repair for distribution network based on optimum utility;Lijun;Trans. China Electrotech. Soc.,2014

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