Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid

Wei SUN; Hao YU; Jianping YANG; Bo GAO; Yu WANG; Shaorui QIN

doi:10.7500/AEPS20190124005

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Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid

Application Research | 更新时间：2025-06-16

- Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid
- Automation of Electric Power Systems Vol. 44, Issue 3, Pages: 185-193(2020)
- 作者机构：
  
  1. 合肥工业大学电气与自动化工程学院，安徽省合肥市 230009
  2. 山东科汇电力自动化股份有限公司，山东省淄博市 255087
  3. 国网安徽省电力有限公司电力科学研究院，安徽省合肥市 230022
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;Fundamental Research Funds for the Central Universities;State Grid Corporation of China
- DOI：10.7500/AEPS20190124005
  CLC：
- Received：24 January 2019，
  
  Revised：2019-08-09，
  
  Published Online：18 December 2019，
  
  Published：25 March 2020
- 稿件说明：
移动端阅览
孙伟,余浩,杨建平等.智能电网可靠性需求约束下无线发射功率模型预测控制[J].电力系统自动化,2020,44(03):185-193.

SUN Wei,YU Hao,YANG Jianping,et al.Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid[J].Automation of Electric Power Systems,2020,44(03):185-193.
孙伟,余浩,杨建平等.智能电网可靠性需求约束下无线发射功率模型预测控制[J].电力系统自动化,2020,44(03):185-193. DOI： 10.7500/AEPS20190124005.

SUN Wei,YU Hao,YANG Jianping,et al.Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid[J].Automation of Electric Power Systems,2020,44(03):185-193. DOI： 10.7500/AEPS20190124005.

摘要

在基于无线传感器网络（WSN）的智能电网数据采集与通信的应用中，通信可靠性是WSN的关键技术指标。提高发射功率会增加通信的信号强度和可靠性，但同时会导致节点间相互干扰增加。针对这一矛盾，基于自适应模型预测控制的方法，研究智能电网中WSN发射功率优化问题。依据无线通信链路路径损耗模型分析了影响智能电网无线通信信噪比的主要因素，并构建了系统状态空间模型；通过实时估计信噪比随机波动置信区间下界对系统期望信噪比给定进行补偿，并基于模型预测控制的算法，优化求解节点发射功率；最后，通过仿真软件将所提算法与自适应传输功率控制（ATPC）算法及势反馈控制（PFC）算法进行对比分析，并采用WSN硬件平台对算法进行测试。结果表明，所提出的自适应模型预测控制算法可以在保证智能电网无线通信可靠性条件下，降低由节点发射功率较大导致的相互干扰。

Abstract

In the data acquisition and communication applications of smart grid based on wireless sensor network (WSN)

communication reliability is a key technical indicator of WSN. Increasing the transmit power improves the signal strength and reliability of the communication

but simultaneously degrades the mutual interference between the nodes. To solve this contradiction

this paper studies the optimization of WSN transmit power in the smart grid based on the adaptive model predictive control method. The main factors affecting the signal-to-noise ratio (SNR) of wireless communication in the smart grid are analyzed based on the wireless communication link path loss model

and the system state space model is constructed. By real-time estimation of the lower bound of stochastic fluctuation confidence interval of SNR

the compensation is performed and the algorithm based on the model predictive control is used to optimize the transmit power of the node. Finally

the proposed algorithm is compared with the adaptive transmission power control (ATPC) and potential feedback control (PFC) algorithms by simulation software

and the algorithm is tested by WSN hardware platform. The adaptive model predictive control algorithm can reduce the mutual interference between nodes caused by too high transmit power under the condition of ensuring the reliability of smart grid wireless communication.

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references

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