An Optimization Method of Communication Device Operation and Maintenance Management for Low-carbon Smart Parks

KONG Deyu; CHEN Yapeng; YAO Jinqing; YANG Yang; ZHOU Zhenyu

doi:10.19725/j.cnki.1007-2322.2024.0059

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An Optimization Method of Communication Device Operation and Maintenance Management for Low-carbon Smart Parks

更新时间：2026-06-02

- An Optimization Method of Communication Device Operation and Maintenance Management for Low-carbon Smart Parks
- Vol. 43, Issue 3, Pages: 475-483(2026)
- 作者机构：
  
  新能源电力系统国家重点实验室(华北电力大学), 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0059
  CLC： 3
- Published：2026
- 稿件说明：
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KONG Deyu, CHEN Yapeng, YAO Jinqing, et al. An Optimization Method of Communication Device Operation and Maintenance Management for Low-carbon Smart Parks[J]. 2026, 43(3): 475-483.
DOI：

KONG Deyu, CHEN Yapeng, YAO Jinqing, et al. An Optimization Method of Communication Device Operation and Maintenance Management for Low-carbon Smart Parks[J]. 2026, 43(3): 475-483. DOI： 10.19725/j.cnki.1007-2322.2024.0059.

摘要

低碳智慧园区中业务的协调运行需要海量通信设备支撑。园区在通信设备需要在全生命周期内进行定期维护、更新、替换，对运维资源管理提出了更高的要求。因此，该文提出面向低碳智慧园区的通信设备运维管理优化方法。首先，提出低碳智慧园区通信框架，支撑低碳智慧园区能源终端高频次实时交互。其次，构建低碳智慧园区通信设备运维评估模型，从故障率和故障损失两个方面评估设备风险。然后，构建以风险和检修成本最小化为目标的通信设备运维管理(communication device operation and maintenance management，CDOMM)优化问题，并采用差分进化算法进行求解。最后，进行仿真分析，结果表明，相较于传统基于遗传的通信设备运维管理(genetic-based CDOMM，G-CDOMM)算法和基于差分进化的通信设备运维管理(differential evolution-based CDOMM，D-CDOMM)算法，所提方法可降低平均检修成本36.80%和62.98%，降低平均风险损失29.33%和38.41%。

Abstract

The coordinated operation of services within a low-carbon smart park relies on a multitude of communication devices. These devices require regular maintenance

timely updates

and periodic replacements throughout their life cycles

imposing higher demands on the operation and maintenance management for park devices. To address this issue

in this paper we introduce an optimization method of communication device operation and maintenance management for low-carbon smart parks. Firstly

a communication framework is presented

enabling real-time interaction of high-frequency data among energy devices within the park. Secondly

a performance evaluation model is developed to assess the operation and maintenance of communication devices in low-carbon smart parks

as well as the device risks based on failure rate and failure loss. Subsequently

we formulate an optimization problem for communication device operation and maintenance management (CDOMM) with the primary objectives of minimizing risk and maintenance costs

which is then solved using a differential evolution algorithm. Finally

the simulation results demonstrate that in comparison to the traditional genetic-based communication device operation and maintenance management (G-CDOMM) algorithm and the differential evolution-based communication device operation and maintenance management (D-CDOMM) algorithm

the proposed algorithm achieves a reduction of 36.80% and 62.98% in average maintenance costs

respectively

as well as a decrease of 29.33% and 38.41% in average risk losses.

关键词

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references

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