智能电网可靠性需求约束下无线发射功率模型预测控制

孙伟; 余浩; 杨建平; 高博; 汪玉; 秦少瑞

doi:10.7500/AEPS20190124005

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智能电网可靠性需求约束下无线发射功率模型预测控制

研制与开发 | 更新时间：2025-06-16

- 智能电网可靠性需求约束下无线发射功率模型预测控制
- Model Predictive Control of Wireless Transmit Power Constrained by Reliability Requirement of Smart Grid
- 电力系统自动化-方正平台 2020年44卷第3期页码：185-193
- 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：
  
  孙伟(1982—)，男，博士，副教授，主要研究方向：智能电网、无线传感器网络。E-mail：wsun＠hfut.edu.cn
  余浩(1994—)，男，硕士研究生，主要研究方向：智能电网、无线传感器网络。E-mail：2567000409@qq.com
  杨建平(1975—)，男，通信作者，硕士，高级工程师，主要研究方向：配电网故障检测、保护及控制技术。E-mail：yangjp@kehui.cn
- 基金信息：
  
  国家自然科学基金资助项目(51877060);中央高校基本科研业务费专项资金资助项目(PA2019GDQT0006)
- DOI：10.7500/AEPS20190124005
  中图分类号：
- 收稿日期：2019-01-24，
  
  修回日期：2019-08-09，
  
  网络出版日期：2019-12-18，
  
  纸质出版日期：2020-03-25
- 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

赵增华 , 石高涛 , 韩双立 , 等 . 基于无线传感器网络的高压输电线路在线监测系统 [J]. 电力系统自动化 , 2009 , 33 ( 19 ): 80 - 84 .

ZHAO Zenghua , SHI Gaotao , HAN Shuangli , et al . A heterogeneous wireless sensor networks based remote district high-voltage transmission line on-line monitoring system [J]. Automation of Electric Power Systems , 2009 , 33 ( 19 ): 80 - 84 .

韩蓓 , 盛戈皞 , 江秀臣 , 等 . 基于ZigBee无线传感网络的导线接头在线测温系统 [J]. 电力系统自动化 , 2008 , 32 ( 16 ): 72 - 77 .

HAN Bei , SHENG Gehao , JIANG Xiuchen , et al . An online thermal condition monitoring system with wireless sensor networks based on ZigBee technology for transmission line joints [J]. Automation of Electric Power Systems , 2008 , 32 ( 16 ): 72 - 77 .

MA R , MENG W , CHEN H H , et al . Coexistence of smart utility networks and WLAN/ZigBee in smart grid [C]// IEEE Third International Conference on Smart Grid Communications, November 5-8 , 2013 , Tainan , China .

YERRA R V P , BHARATHI A K , RAJALAKSHMI P , et al . WSN based power monitoring in smart grids [C]// Seventh International Conference on Intelligent Sensors, December 6-9 , 2011 , Adelaide , Australia .

US National Institute of Standards and Technology . NIST framework and roadmap for smart grid interoperability standards: release 3.0 [S]. 2014 .

GUNGOR V C , LU B , HANCKE G P . Opportunities and challenges of wireless sensor networks in smart grid [J]. IEEE Transactions on Industrial Electronics , 2010 , 57 ( 10 ): 3557 - 3564 .

SUN W , WEI L , WANG J , et al . A link quality estimation model of wireless sensor networks for smart distribution grid [J]. IFAC-PapersOnLine , 2015 , 48 ( 28 ): 432 - 437 .

孙伟 , 陆伟 , 李奇越 , 等 . 智能电网中无线传感器网络通信链路可靠性置信区间预测 [J]. 电力系统自动化 , 2017 , 41 ( 4 ): 29 - 34 .

SUN Wei , LU Wei , LI Qiyue , et al . Reliability confidence interval prediction for communication line of wireless sensor networks in smart grid [J]. Automation of Electric Power Systems , 2017 , 41 ( 4 ): 29 - 34 .

谢益溪 . 无线电波传播:原理与应用 [M]. 北京 : 人民邮电出版社 , 2008 .

XIE Yixi . Radio wave propagation: principles and applications [M]. Beijing : The People’s Posts and Telecommunications Press , 2008 .

SHANAR P M . Error rates in generalized shadowed fading channels [J]. Wireless Personal Communications , 2004 , 28 ( 3 ): 233 - 238 .

CONTI M , PASSARELLA A . Energy conservation in wireless sensor networks: a survey [J]. Ad Hoc Networks , 2009 , 7 ( 3 ): 537 - 568 .

FAROOQ M O , KUNZ T . Contiki-based IEEE 802 . 15.4 node’s throughput and wireless channel utilization analysis [C]// 2012 IFIP Wireless Days , November 21 - 23 , 2012 , Dublin, Ireland: 1 - 3 .

王君洪 , 陈跃东 , 陈孟元 , 等 . 基于马尔科夫链的模糊认知图在智能配电网WSN通信QoS优化研究 [J]. 电子测量与仪器学报 , 2016 , 30 ( 1 ): 66 - 74 .

WANG Junhong , CHEN Yuedong , CHEN Mengyuan , et al . Research on fuzzy cognitive map based on Markov chain in QoS optimization of smart distribution power grid WSN communication [J]. Journal of Electronic Measurement & Instrumentation , 2016 , 30 ( 1 ): 66 - 74 .

WANG J , FANG R , SUN W . QoS modeling of wireless sensor networks in smart distribution grid communication [J]. Wireless Personal Communications , 2017 , 95 ( 4 ): 4477 - 4495 .

刘耀先 , 孙毅 , 武昕 , 等 . 面向配电网故障检测的无线传感网络可靠路由方法 [J]. 电网技术 , 2015 , 39 ( 12 ): 3609 - 3614 .

LIU Yaoxian , SUN Yi , WU Xin , et al . A reliable WSN routing method for distribution networks fault detection [J]. Power System Technology , 2015 , 39 ( 12 ): 3609 - 3614 .

SUN W , LU W , LI Q , et al . WNN-LQE: wavelet-neural-network-based link quality estimation for smart grid WSNs [J]. IEEE Access , 2017 , 5 : 12788 - 12797 .

LIN S , MIAO F , ZHANG J , et al . ATPC: adaptive transmission power control for wireless sensor networks [J]. ACM Transactions on Sensor Networks , 2016 , 12 ( 1 ): 1 - 31 .

PHAN D D , MOULAY E , COIRAULT P , et al . Potential feedback control for the power control in wireless sensor networks [J]. IET Control Theory & Applications , 2015 , 9 ( 13 ): 2022 - 2028 .

SAHIN D , GUNGOR V C , KOCAK T , et al . Quality-of-service differentiation in single-path and multi-path routing for wireless sensor network-based smart grid applications [J]. Ad Hoc Networks , 2014 , 22 : 43 - 60 .

张先毅 , 王英龙 , 郭强 , 等 . 无线传感器网络室内信道模型的研究 [J]. 计算机应用研究 , 2009 , 26 ( 12 ): 4713 - 4715 .

ZHANG Xianyi , WANG Yinglong , GUO Qiang , et al . Research of indoors channel fading model in wireless sensor networks [J]. Application Research of Computers , 2009 , 26 ( 12 ): 4713 - 4715 .

SUN W , LI Q , WANG J , et al . A radio link reliability prediction model for wireless sensor networks [J]. International Journal of Sensor Networks , 2018 , 27 ( 4 ): 215 - 226 .

TENG H , ZHANG K , DONG M , et al . Adaptive transmission range based topology control scheme for fast and reliable data collection [J]. Wireless Communications and Mobile Computing , 2018 ( 5 ): 1 - 21 .

现代数学手册编纂委员会 . 现代数学手册·随机数学卷 [M]. 武汉 : 华中科技大学出版社 , 2000 : 73 .

Compilation Committee of Modern Mathematics Handbook . Modern mathematics handbook: stochastic mathematics volume [M]. Wuhan : Huazhong University of Science and Technology Press , 2000 : 73 .

GAUTAM P R , KUMAR S , VERMA A , et al . Energy-efficient localization of sensor nodes in WSNs using beacons from rotating directional antenna [J/OL]. IEEE Transactions on Industrial Informatics [ 2019-04-01 ]. DOI: 10.1109/TII.2019.2908437 DOI: 10.1109/TII.2019.2908437 .

孙伟 , 王建平 , 穆道明 , 等 . 智能配电通信无线传感网络链路质量评估预测建模 [J]. 电力系统自动化 , 2014 , 38 ( 19 ): 61 - 66 .

SUN Wei , WANG Jianping , MU Daoming , et al . Link-quality estimation and prediction modeling of wireless sensor networks in smart distribution network communication [J]. Automation of Electric Power Systems , 2014 , 38 ( 19 ): 61 - 66 .

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