Cross Layer Optimization Method of Transmission Line Condition Monitoring and Data Acquisition Based on WSN

doi:10.11985/2021.03.022

Abstract

Abstract:

Aiming at the problems of corona noise interference, low real-time performance and low reliability of data acquisition, a cross layer optimization method based on wireless sensor network(WSN) is proposed. Firstly, according to the fact that the transmission line is easy to generate corona noise, the system communication model is designed, and the reliability and delay are analyzed deeply. Under the maximum reliability constraint, the transmission delay needs to be controlled to meet the given time limit. Secondly, the problem of finding the optimal number of sensor nodes is transformed into a mixed integer nonlinear programming, and the optimal link is obtained by the link adaptive direct search (LADS) algorithm. At last, the WSN routing algorithm based on quantum ant colony is used to realize the global optimization of the best routing path. Simulation results show that the proposed method has lower transmission delay compared with other traditional algorithms, and can effectively improve the reliability of data transmission, and can meet the application requirements of all-round state monitoring of high-voltage transmission lines.

Key words: Transmission line, corona noise, wireless sensor network, cross-layer optimization, quality of service

CLC Number:

TP37

ZAI Hongbin, LIU Jianguo, TANG Baoguo, MA Jianguo, SHANGGUAN Mingxia, SHAN Rongrong. Cross Layer Optimization Method of Transmission Line Condition Monitoring and Data Acquisition Based on WSN[J]. Journal of Electrical Engineering, 2021, 16(3): 161-169.

Figures/Tables 10

References 20

[1]	江秀臣, 罗林根, 余钟民, 等. 区块链在电力设备泛在物联网应用的关键技术及方案[J]. 高电压技术, 2019, 45(11):3393-3400.
	JIANG Xiuchen, LUO Lingen, YU Zhongmin, et al. Key technologies and solutions for the application of blockchain in the ubiquitous Internet of Things in power equipment[J]. High Voltage Technology, 2019, 45(11):3393-3400.
[2]	JOHNSON T E, WHITE R W, CLARK C. Into the melting pot:A celebration of the career of Michael Brown[J]. Journal of Metamorphic Geology, 2019, 37(7):889-897. doi: 10.1111/jmg.v37.7
[3]	蔡月明, 封士永, 杜红卫, 等. 面向泛在电力物联网的边缘节点感知自适应数据处理方法[J]. 高电压技术, 2019, 45(6):1715-1722.
	CAI Yueming, FENG Shiyong, DU Hongwei, et al. Edge node sensing adaptive data processing method for ubiquitous power Internet of Things[J]. High Voltage Technology, 2019, 45(6):1715-1522.
[4]	LI Peng, WU Xing, SHEN Wenfeng, et al. Collaboration of heterogeneous unmanned vehicles for smart cities[J]. IEEE Network, 2019, 33(4):133-137. doi: 10.1109/MNET.2019.1800544
[5]	苗春雨, 陈丽娜, 吴建军, 等. 无线传感器网络节点位置验证框架[J]. 计算机研究与发展, 2019, 56(6):1231-1243.
	MIAO Chunyu, CHEN Lina, WU Jianjun, et al. Wireless sensor network node location verification framework[J]. Computer Research and Development, 2019, 56(6):1231-1243.
[6]	周华良, 饶丹, 宋斌, 等. 输电线路分布式故障诊断系统的信息安全防护设计及应用[J]. 电力系统自动化, 2019(15):193-199.
	ZHOU Hualiang, RAO Dan, SONG Bin, et al. Design and application of information security protection for transmission line distributed fault diagnosis system[J]. Automation of Electric Power Systems, 2019(15):193-199.
[7]	WANG Shengming, HU Zhaoyang, RONG Cancan, et al. Optimization analysis of coil configuration and circuit model for asymmetric wireless power transfer system[J]. IET Microwaves Antennas & Propagation, 2018, 12(7):1132-1139. doi: 10.1049/mia2.v12.7
[8]	HORATIU G E, ANDREESCU G D. Greenhouse environment monitoring and control:State of the art and current trends[J]. Environmental Engineering & Management Journal, 2018, 17(2):399-416.
[9]	COROMINA J, VELEZ P, BONACHE J, et al. Reactively-loaded non-periodic slow-wave artificial transmission lines for stop band bandwidth enhancement:Application to power splitters[J]. International Journal of Microwave and Wireless Technologies, 2019, 11(5-6):475-481. doi: 10.1017/S1759078719000321
[10]	孔祥玉, 吕鑫鹏, 俞小勇, 等. 基于量化分解的配电网可靠性提升措施分析[J]. 电力系统自动化, 2019, 43(19):132-139.
	KONG Xiangyu, LÜ Xinpeng, YU Xiaoyong, et al. Analysis of reliability improvement measures for distribution network based on quantitative decomposition[J]. Automation of Electric Power Systems, 2019, 43(19):132-139.
[11]	WEI Junyi, YANG Kun, ZHANG Guopeng, et al. A QoS-aware joint power and subchannel allocation algorithm for mobile network virtualization[J]. Wireless Personal Communications, 2019, 104(2):507-526. doi: 10.1007/s11277-017-5053-y
[12]	王振刚, 陈渊睿, 曾君, 等. 面向完全分布式控制的微电网信息物理系统建模与可靠性评估[J]. 电网技术, 2019(7):2413-2421.
	WANG Zhengang, CHEN Yuanrui, ZENG Jun, et al. Microgrid cyber-physical system modeling and reliability evaluation for fully distributed control[J]. Power System Technology, 2019(7):2413-2421.
[13]	SUN Y, LIU D, LI B, et al. Application of deep reinforcement learning in demand response[J]. Automation of Electric Power Systems, 2019, 43(5):183-191.
[14]	李珏, 刘灏, 田建南, 等. 适用于主动配电网PMU的数据传输协议与通信性能分析[J]. 电力科学与技术学报, 2019, 34(2):3-10.
	LI Jue, LIU Hao, TIAN Jiannan, et al. Data transmission protocol and communication performance analysis of PMU for active distribution network[J]. Journal of Electric Power Science and Technology, 2019, 34(2):3-10.
[15]	AUDET C, DIGABEL S L, TRIBES C. The mesh adaptive direct search algorithm for granular and discrete variables[J]. SIAM Journal on Optimization, 2019, 29(2):1164-1189. doi: 10.1137/18M1175872
[16]	李道豫, 王圣平, 冯文昕, 等. 高压直流输电均压电极结垢的解析与改进[J]. 电气工程学报, 2019, 14(1):26-29.
	LI Daoyu, WANG Shengping, FENG Wenxin, et al. Analysis and improvement on the scaling of voltage equalizing electrodes in HVDC transmission[J]. Journal of Electrical Engineering, 2019, 14(1):26-29.
[17]	ZHOU R G, FAN P, TAN C, et al. Quantum gray-scale image dilation/erosion algorithm based on quantum loading scheme[J]. Computer Journal, 2018, 29(1):220-227.
[18]	宰红斌, 韩海安, 上官明霞, 等. 基于磁场传感与北斗定位的采空区输电杆塔倾斜预警方法[J]. 电气工程学报, 2020, 15(3):55-60.
	ZAI Hongbin, HAN Haian, SHANGGUAN Mingxia, et al. An early warning method for the inclination of power transmission towers in goafs based on magnetic field sensing and Beidou positioning[J]. Journal of Electrical Engineering, 2020, 15(3):55-60.
[19]	严春香, 席颖颖, 翟鹏举, 等. 一起特高压直流输电工程控制保护装置通信故障的分析及处理[J]. 电气工程学报, 2019, 14(1):21-25.
	YAN Chunxiang, XI Yingying, ZHAI Pengju, et al. Analysis and treatment of a communication fault in the control and protection device of an UHVDC transmission project[J]. Journal of Electrical Engineering, 2019, 14(1):21-25.
[20]	WANG Han, ZHANG Hongjun, WANG Kun, et al. Off-road path planning based on improved ant colony algorithm[J]. Wireless Personal Communications, 2018, 102(2):1705-1721. doi: 10.1007/s11277-017-5229-5

冲动信道状态	$\Gamma$	A	P₀	P₁
非常好	0.4	0.2	0.4	0.5
好	0.4	0.2	0.4	0.1
差	0.4	0.2	0.8	0.1
非常差	0.1	0.4	0.8	0.2