In the process of monitoring and controlling power distribution network, condition monitoring and fault tolerance of towers and other facilities become an urgent problem in power system. The existing monitoring system can not maintain transmission of distributed power timely when fault occurs because of the limitations such as linear topology. Therefore, it may result in serious power system accidents, influencing production business of electric power. Based on the background of using sensors to monitor overhead transmission line, a fault tolerance mechanism for sensors deployment is proposed. First, according to N-x principle, the number of backup nodes and cellular-enabled modules is minimized to achieve the goal of cost minimization. Second, the number constraint of N-x principle and delay constraint is integrated into establishing a mathematical optimization model. Based on this model and by using clustering algorithm, a fault tolerance mechanism is built for sensors monitoring overhead transmission line in smart grid. Finally, the simulation experiment shows that sensor monitoring network deployed with this mechanism can tolerate the faults on the basis of minimized cost effectively.
FATEH B, GOVINDARASU M, and AJJARAPU V. Wireless network design for transmission line monitoring in smart grid[J]. IEEE Transactions on Smart Grid, 2013, 4(2): 1076-1086. [2] YANG Y, DIVAN D, HARLEY R G, et al. Design and implementation of power line sensornet for overhead transmission lines[C]. Power & Energy Society General Meeting, PES'09, IEEE, Calgary, 2009: 1-8.
[3]
SALVADORI F, GEHRKE C S, de OLIVEIRA A C, et al. Smart grid infrastructure using a hybrid network architecture[J]. IEEE Transactions on Smart Grid, 2013, 4(3): 1630-1639.
[4]
VENKATESAN L, SHANMUGAVEL S, and SUBRAMANIAM C. A survey on modeling and enhancing reliability of wireless sensor network[J]. Wireless Sensor Network, 2013, 5(3): 41-51.
LIU Liping, WANG Zhi, and SUN Youxian. Survey on coverage in wireless sensor networks deployment[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1752-1757.
[6]
FANG X, MISRA S, XUE G, et al. Smart grid — The new and improved power grid: A survey[J]. IEEE Communications Surveys & Tutorials, 2012, (4): 944-980.
YIN Rongrong, LIU Bin, LIU Haoran, et al. The fault- tolerant topology control approach in wireless eensor networks based on integrated fault model of node[J]. Journal of Electronics & Information Technology, 2012, 34(10): 2375-2381. doi: 10.3724/SP.J.1146.2012.00361.
LIU Bin, DONG Mingru, LIU Haoran, et al. A scale-free fault tolerant topology model in wireless sensor network for toleration of comprehensive fault[J]. Acta Physica Sinica, 2014, 63(17): 170506-170506.
[9]
MAHAPATRO A and KHILAR P M. Fault diagnosis in wireless sensor networks: a survey[J]. IEEE Communications Surveys & Tutorials, 2013, 15(4): 2000-2026.
[10]
RUI Yun, BU Z, TANG Liang, et al. A reverse transmission mechanism for surveillance network in smart grid[J]. IEEE Conference on Computer Communications Workshops, 2013, 12(11): 61-66.
[11]
WU YC, CHEUNG LF, LUI KS, et al. Efficient communication of sensors monitoring overhead transmission lines[J]. IEEE Transactions on Smart Grid, 2012, 3(3): 1130-1136.
[12]
SHORTLE J, REBENNACK S, and GLOVER F W. Transmission-capacity expansion for minimizing blackout probabilities[J]. IEEE Transactions on Power Systems, 2014, 29(1): 43-52.
[13]
HUNG K S, LEE W K, LI V O K, et al. On wireless sensors communication for overhead transmission line monitoring in power delivery systems[C]. 2010 First IEEE International Conference on Smart Grid Communications, Gaithersburg, 2010: 309-314.
[14]
CORMEN T H, LEISERSON C E, RIVEST R, et al. Introduction to Algorithms[M]. 3rd Edition. The MIT Press, 2009: 703-704.
[15]
MELIOPOULOS A P S, COKKINIDES G J, MOHAGHEGHI S, et al. A laboratory setup of a power system scaled model for testing and validation of EMS applications[C]. IEEE Conference on Bucharest Powertech, Bucharest, 2009: 1-8.
[16]
XIA J, YU K, YUN C, et al. A novel mechanism for surveillance transmission in smart grid[C]. IEEE International Conference on Smart Grid Engineering, Oshawa, 2012: 1-8.