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An Electric Power Emergency Repair System: Structure, Navigation, and Software Design

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Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops (LSMS 2020, ICSEE 2020)

Abstract

The development of power grids gradually raises the demand for their emergency repair capabilities and efficiency. This paper focuses on the enhancement of the power emergency repair system from three aspects: 1) the structure of an improved electric power emergency repair system is proposed; 2) the navigation method for the repairing is established based on the application of BPNN-Dijkstra algorithm; 3) the software structure of the electric power emergency repair system is proposed. The proposed electric power emergency repair system has the advantages of real-time situation monitoring and instant repair unit dispatch, which could be considered as the enhancement to the state-of-the-art electric power emergency repair techniques.

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References

  1. Zhou, X.: Application of satellite communication technology in emergency repair of electric power emergency communication. Commun. World 08, 170–171 (2018)

    Google Scholar 

  2. Tian, S., Zhu, C., Chen, X., et al.: Theory of electric power emergency management and its technological countermeasures. Pow. Syst. Technol. 31(24), 22–27 (2007)

    Google Scholar 

  3. Tian, S., Chen, X., Zhu, C., et al.: Study on electric power emergency management platform. Pow. Syst. Technol. 32(1), 26–30 (2008)

    Google Scholar 

  4. Xu, J.: Design and Implementation of Power Failure Repair Information System Based on Mobile Terminal. University of Electronic Science and Technology (2014)

    Google Scholar 

  5. Broumi, S., Bakali, A., Talea, M., Smarandache, F.: Applying Dijkstra algorithm for solving neutrosophic shortest path problem. In: IEEE Proceedings of The 2016 International Conference on Advanced Mechatronic Systems, 30 November–3 December 2016, Melbourne, Australia, pp. 412–416 (2016)

    Google Scholar 

  6. Lin, X., Geng, F., Jin, Z., Xu, Q.: The optimization of delivery vehicle scheduling considering the actual road network factors. In: 2016 International Conference on IEEE Logistics, Informatics and Service Sciences (LISS), 24–27 July 2016, Sydney, NSW, Australia (2016)

    Google Scholar 

  7. Zhang, J., et al.: Vehicle routing in urban areas based on the Oil Consumption Weight-Dijkstra algorithm. In: IEEE IET Intelligent Transport Systems, 15 August 2016 (2016)

    Google Scholar 

  8. Xing, S., Gu, Y., Shen, L., Yang, X., Zhuang, G.: A traffic congestion prediction model based on vehicle speed of urban expressways. Traffic Inf. Secur. 34(2), 48–50 (2016). https://doi.org/10.3963/j.issn1674-4861.2016.02.00

  9. Zhong, A.: Research on Intelligent Dispatching System of Electric Power Repair Based on GIS. Chongqing University (2008)

    Google Scholar 

  10. Ding, L.: Design and Implementation of ERP System Sales Management Subsystem. Beijing University of Posts and Telecommunications (2010)

    Google Scholar 

  11. Lu, H.: Design and Implementation of Oilfield Development Information System. University of Electronic Science and Technology (2010)

    Google Scholar 

  12. Xu, Z.: Research on Original Image Database System Based on WEB. People’s Liberation Army Information Engineering University (2004)

    Google Scholar 

  13. Zheng, Q.: Design and Implementation of Electric Emergency Command System. Jilin University (2014)

    Google Scholar 

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Acknowledgement

The authors would like to grant the support from State Grid Liaoning Electric Power Corporation under the project “The Electric Power Emergency Repair System Based on a Novel Energy-Saving Light Sources”.

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Correspondence to Boyu Liu .

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Cui, J., Gang, H., Qiu, P., Liu, B. (2020). An Electric Power Emergency Repair System: Structure, Navigation, and Software Design. In: Fei, M., Li, K., Yang, Z., Niu, Q., Li, X. (eds) Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops. LSMS ICSEE 2020 2020. Communications in Computer and Information Science, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-6378-6_3

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  • DOI: https://doi.org/10.1007/978-981-33-6378-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6377-9

  • Online ISBN: 978-981-33-6378-6

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