| As the telecommunications for electric power system develops,the Wireless System Network(WSN)application in the distribution network can solve “the last mile problem” of network connection of the power grid effectively and significantly improve its intelligence level.At present,the vast majority of WSNs applied in distribution networks adopt non-IP wireless communication technologies.Whereas the ever-increasing number of connected intelligent devices to the distribution network and the gradual popularization of IPv6,the next-generation protocol,have given rise to challenges to WSN in the distribution network.It may face problems such as insufficient IP address spaces,poor network connectivity,and weak scaling.Therefore,the“IPv6 over Low-Power Wireless Personal Area Networks”(6LoWPAN)integrated the lightweight IPv6 protocol and IEEE Std.802.15.4 perfectly solved the problem of applying IPv6 to sensor nodes of low-power WSN.At the same time,due to the high reliability and real-time requirements of communication data in distribution communication systems and the limited computing power and available energy of wireless sensor nodes,it will be challenging to supplement their secondary energy after deployment.Therefore,while meeting the communication needs of the distribution network,how to further reduce the energy consumption of sensor nodes and extend network service life has become a research focus in WSN in the intelligent distribution network.The main work of this research consists of:(1)First,analyze the current research status of distribution communication networks,6LoWPAN technology,and WSN routing algorithms at home and abroad.Next,list the key issues in routing design per the distribution network structure and its communication business requirements while considering the characteristics of WSN technology.Finally,determine the WSN networking strategy and optimization objectives for this research based on the specific distribution communication business.(2)Established a 6LoWPAN-based intelligent distribution network communication architecture,including the perception,network,and application layers.The perception layer comprises 6LoWPAN wireless sensor nodes,which transmit the data collected to the master station of the distribution network through the network layer,facilitating staff to grasp the real-time operation of the distribution network through the upper-computer software to meet various distribution network needs.Next,simulated the network in advance on the Cooja network simulator in the Contiki operating system.Then,built a 6LoWPAN-based environment monitoring system for the distribution room in the school laboratory environment after integrating the simulation result and using the cc2538 development board.Finally,completed the real-time monitoring of the temperature,humidity,water immersion,harmful gases,and other environmental information in the distribution room and verified the application of 6LoWPAN in the actual environment.(3)Aiming at solving the problems of unreliable wireless communication data transmission and low network service life in distribution networks,an improved harmony search(HS)based routing algorithm for wireless sensor networks(AORHS)was proposed.First,analyzed the communication requirements of the distribution network and established a data transmission model;Next,improved the HS Algorithm based on the characteristics of wireless sensor routing problems;Then,further improved its adaptive parameter formula to avoid the algorithm from getting stuck on local optimum;Optimized the forwarding node set by creating a forward area between the source and destination nodes to avoid data backpropagation and improve the efficiency of the algorithm;Finally,in the generation stage of the initial Harmony Library,improved the probability formula in the roulette techniques by comprehensively considering the distance,packet loss rate,and node residual energy.The simulation experiment showed that this algorithm could effectively reduce data transmission latency,improve data reliability,and balance node energy consumption to extend network service life. |