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Low-voltage power line carrier communication system is to achieve Smart Grid important and difficult . Low-voltage power line carrier communication reliability is not high drawback is restricting the development of the smart grid of the main factors . Since power line noise , attenuation characteristic of the communication distance becomes short , poor reliability , the problem is difficult to solve in the physical layer , the upper layer communication protocols need to be resolved, the routing algorithm to find the need to use for data relay node forwarding , complete source node and the destination node for reliable communication between . The existing power line carrier routing algorithm has a search time is too long, poor self-adaptive , real-time and low , so this paper presents a fusion of genetic load balancing algorithm, combined with adaptive ant colony algorithm , genetic rapidity and power line carrier channel characteristics, etc. , to improve the routing algorithm fast , adaptive , and optimization capabilities . This article first low-voltage power line carrier communication system has been introduced , an analysis of its system architecture and network topology, and briefly describes the existing power line carrier routing algorithms and analyze their respective advantages and disadvantages. Secondly, the number of units in the field testing and analysis of the existing district mainstream market both routing schemes ( Fu Xing Xiao Cheng and Qingdao Neusoft ) , based on field testing and theoretical analysis of Xiao Cheng defects with Neusoft routing scheme proposed fusion genetic ant colony algorithm load balancing . Self- adaptive ant colony improve the adaptability of existing programs with low defects, and in optimizing the objective function , contraindications table updates , state transition rules, and search for other aspects of the colony improvements , the algorithm can better adapt to the power line carrier communication networks. Meanwhile , the design of routing maintenance strategy to improve the survivability of the routing algorithm . Finally, the establishment of a channel simulation model and the network topology model , and in these models , the comparison tests the flooding algorithm , non- overlapping clustering algorithm and GA-LBAS algorithm ability to adapt to real-time, load balancing, and invulnerability the simulation results show that the algorithm can adapt to the dynamic power line carrier communication system , in real time, load balancing and survivability so much better than flooding algorithm and non- overlapping clustering algorithm .
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