Transmission bandwidth optimal allocation strategy of communication data for a smart distribution grid based on WSNs

被引:0
|
作者
Fang R. [1 ]
Ge Y. [1 ]
Sun W. [2 ]
Wang J. [2 ]
机构
[1] School of Electrical and Mechanical Engineering, Xuchang University, Xuchang
[2] School of Electrical and Automation, Hefei University of Technology, Hefei
基金
中国国家自然科学基金;
关键词
Bandwidth prediction; Communication demand; Performance test; Queuing theory; WSNs;
D O I
10.19783/j.cnki.pspc.210220
中图分类号
学科分类号
摘要
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. © 2021 Power System Protection and Control Press.
引用
收藏
页码:88 / 95
页数:7
相关论文
共 25 条
  • [11] BAO Xingchuan, PENG Lin, Dynamic bandwidth allocation algorithm for distribution network communication based on SDN, Computer Applications and Software, 35, 8, pp. 219-225, (2018)
  • [12] FANG Huifeng, GU Huaiming, FAN Guanghai, Et al., The static and dynamic analysis of GaN-based blue light-emitting diodes used in visible light communication, Journal of Optics, 48, 4, pp. 486-490, (2019)
  • [13] YUAN Hui, WEI Xuekai, YANG Fuzheng, Et al., Cooperative bargaining game based multiuser bandwidth allocation for dynamic adaptive streaming over HTTP, IEEE Transactions on Multimedia, 20, 1, pp. 183-197, (2018)
  • [14] ZHANG Weichen, XIONG Yongxin, LI Chenghao, Et al., Continuous commutation failure suppression and coordinated recovery of multi-infeed DC system based on improved VDCOL, Power System Protection and Control, 48, 13, pp. 63-72, (2020)
  • [15] WEN Jinyi, Research on IOT sensor network resource allocation algorithm based on cognitive radio, (2018)
  • [16] LI Xinyue, LI Fengting, YIN Chunya, Et al., Transient overvoltage calculation method of HVDC sending-end system under DC bipolar blocking, Power System Protection and Control, 49, 1, pp. 1-8, (2021)
  • [17] CHANDAK S, BHOWMIK P, ROUT P K., Load shedding strategy coordinated with storage device and D-STATCOM to enhance the microgrid stability, Protection and Control of Modern Power Systems, 4, 3, pp. 250-268, (2019)
  • [18] SUN Wei, LU Wei, LI Qiyue, Et al., Reliability confidence interval prediction for communication link of wireless sensor network in smart grid, Automation of Electric Power Systems, 41, 4, pp. 29-34, (2017)
  • [19] ZHAO Ziyan, LIU Jianming, A new service risk balancing based method to evaluate reliability of electric power communication network, Power System Technology, 35, 10, pp. 209-213, (2011)
  • [20] XU Zhiqiang, LU Jun, ZHAI Feng, Et al., Communication bandwidth prediction of aggregation of multi-services for smart power distribution and utilization, Power System Technology, 39, 3, pp. 712-716, (2015)