基于WSNs的智能配电网通信数据传输带宽的优化分配策略
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(1.许昌学院电气与机械工程学院,河南 许昌 461000;2.合肥工业大学电气与自动化学院,安徽 合肥 230009)

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方如举(1975—),男,教授,研究生方向为智能电网通信与电气智能控制。E-mail: fangruju@163.com

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国家自然科学基金项目资助(51877060)


Transmission bandwidth optimal allocation strategy of communication data for a smart distribution grid based on WSNs
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(1. School of Electrical and Mechanical Engineering, Xuchang University, Xuchang 461000, China; 2. School of Electrical and Automation, Hefei University of Technology, Hefei 230009, China)

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    摘要:

    智能配电网无线传感器通信网络中,IEEE802.15.4协议采用M/M/1/k排队理论,通信数据遵循先到先发,无法为实时性和可靠性需求较高的电力数据分配合理的带宽资源。通过设置通信规则,解决节点内不同优先级别数据排队问题。以通信延时和误码率作为约束条件、网络带宽利用率最大化为系统目标函数,建立了多优先级别数据带宽资源的预测模型。通信网络根据带宽预测结果进行下一时刻不同优先级别数据带宽资源分配。最后,对基于40个智能配电网无线传感器节点的通信网络性能进行方案测试,验证了所提带宽资源分配方案的有效性。

    Abstract:

    It cannot allocate reasonable bandwidth resources for power data under higher demand in real-time and for reliability in WSNs of a smart distribution grid. This is because the IEEE802.15.4 protocol adopts M/M/1/k queuing theory and the communication data follows the ‘first come first served’ principle. By setting rules of communication, the queuing problem is solved for different priority communication data in a node. A bandwidth resource prediction model of multi priority data is established, where communication delay and BER are taken as a constraint condition and maximizing the utilization of network bandwidth is the objective function of the system. From the bandwidth prediction results, the communication network allocates the data bandwidth resources for different priority data at the next time. Finally, a case is tested, based on 40-node of WSNs applied in a smart distribution grid to verify the effectiveness of the proposed allocation scheme. This work is supported by the National Natural Science Foundation of China (No. 51877060).

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方如举,葛 瑜,孙 伟,等.基于WSNs的智能配电网通信数据传输带宽的优化分配策略[J].电力系统保护与控制,2021,49(23):88-95.[FANG Ruju, GE Yu, SUN Wei, et al. Transmission bandwidth optimal allocation strategy of communication data for a smart distribution grid based on WSNs[J]. Power System Protection and Control,2021,V49(23):88-95]

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  • 收稿日期:2021-03-04
  • 最后修改日期:2021-06-07
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  • 在线发布日期: 2021-12-01
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