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A Method Based on Improved Cuckoo Search for On-Site Operation and Maintenance Work Order Distribution in Power Communication Network

  • Mi LinEmail author
  • Jie Hong
  • Ming Chen
  • Bo Li
  • Huanyu Zhang
  • Zhiyuan Long
  • Mingsi Zhu
  • Weiming Wu
  • Wencheng Deng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

The on-site operation and maintenance (O&M) of the power communication network is an important condition for the stability and efficiency of the smart grid. Moreover, the distribution of the work order is the basis for task assignment in the power system, ensuring the efficient unified management and safe stable operation. In order to optimize the process of the work order distribution for on-site O&M of power communication network, the paper proposes a distribution method based on the improved cuckoo search. First of all, according to distribution requirements of the work order, multiple factors are analyzed, the overall strategy and workflow of distribution are designed, and a distribution analysis model for work order is established. Then, a work order distribution algorithm based on improved cuckoo search is proposed, mixing extreme dynamics optimization search, combining with work order distribution characteristics to find the optimal configuration solution under multiple optimization goals. The four goals of less makespan, higher quality, higher personnel utilization, and less wait time for work orders are achieved, which provides theoretical support for improving efficiency, standardizing management and ensuring safety on on-site O&M. Finally, the simulation shows that this method can achieve higher efficiency and quality of on-site O&M.

Keywords

Work orders Cuckoo search Multi-objective optimization On-site operation and maintenance 

Notes

Acknowledgement

This work was supported by the Science and Technology Foundation of the China Southern Power Grid Company Limited: Research and demonstration application of wearable intelligent operation and maintenance technology for power communication field (070000KK52170008).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mi Lin
    • 1
    Email author
  • Jie Hong
    • 1
  • Ming Chen
    • 1
  • Bo Li
    • 1
  • Huanyu Zhang
    • 1
  • Zhiyuan Long
    • 1
  • Mingsi Zhu
    • 1
  • Weiming Wu
    • 1
  • Wencheng Deng
    • 1
  1. 1.Hainan Power Grid Co., Ltd.HaikouChina

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