Research On Key Technologies Of Power Line And Wireless Communication Fusion For Perception Of Power Internet Of Things

The Power Internet of Things technology plays an important role in ensuring the normal operation of the power grid.Due to the complex topological structure of distribution network,the large number of distribution equipment and the complex electromagnetic environment of the installation site of distribution equipment,any single communication mode can not meet the demand of intelligent distribution grid information perception.In order to improve the reliability of information sensing communication in power grid,this dissertation studies the key technologies for the fusion of the power line and wireless communication,which makes the advantages of the two communication modes complementary,and improves the reliability of data transmission and communication coverage of distribution network.The resource allocation is optimized by orthogonal frequency division multiplexing(OFDM)resource allocation method,and the network performance is enhanced.The main work and research achievements of this dissertation are as follows.(1)A method for identifying transmission characteristics of power line channel based on deep learning is proposed,which completes the identification of transmission characteristics of power line channel by constructing reference samples,training identification models,constructing noise samples,de-noisingy self-coding network,identification of the de-noised sample,so as to facilitate further research on the fusion method of power line and wireless communication considering OFDM resource allocation.(2)Aiming at the feature that heuristic algorithm is easy to fall into local optimal solution,the concepts of iterative incentive mechanism and iterative incentive factor are proposed,which improve the global searching ability and convergence speed of the algorithm.Simulation results show that iterative incentive mechanism can improve the optimization performance of heuristic algorithms.Combined with the dynamic system parameters controlled by iterative incentive factors and the competitive selection of double ant colony with Levy flight,an improved ant colony algorithm is proposed in this dissertation.Simulation results show that,compared with other algorithms,this algorithm has faster convergence speed and is not easy to fall into the local optimal solution,and communication nodes can quickly find the optimal communication path.(3)Based on the improved ant colony algorithm,the corresponding communication protocol,networking mode and route reconfiguration strategy are designed,which constitute the power line communication service quality constrained networking method based on the improved ant colony algorithm.The path reconstruction strategy combining the direct path reconstruction and the indirect path reconstruction is adopted,and the power line communication network is dynamically maintained,to improve the stability and reliability of the power line communication network.Simulation results show that the networking method can select the corresponding optimal communication path for different power line communication service types,and ensure the efficient and reliable data transmission.(4)A fusion method of low-voltage power line and micro-power wireless communication is proposed,which realizes the cross-layer fusion of low-voltage power line communication and micro-power wireless communication by establishing a unified communication protocol in Media access control layer of power line and wireless hybrid communication network,realizing optimal communication path networking in network layer,and distributing sub-service flows based on bit error rate demand factor in service layer.Simulation results show that the performance of hybrid communication network is better than that of other comparative networks.A cross-layer resource allocation algorithm of OFDM in multi-hop relay power line communication network and the fusion method of power line and wireless communication considering OFDM resource allocation are proposed.Simulation results show that the resource allocation algorithm has high system throughput and good delay characteristics,and can meet the communication access requirements of the sensing layer and the network layer of the power Internet of Things.(5)Combined with the oretical research,the multi-mode communication fusion technology based on PLC-LoRa(Long Range)and multi-mode communication fusion technology based on low voltage PLC-medium voltage PLC-4G/2G bridge relay are proposed.The intelligent sensing terminals of power grid are developed and applied to the enterprise energy efficiency and safe power consumption monitoring system and the practical project of centralized meter reading in remote rural areas.we have served thousands of enterprises and installed tens of thousands of terminals.