A Matching Optimization Method of Distribution Power Internet of Things Based on Network Looseness

Power line carrier communication (PLC) is one of the important technologies to construct and realize ubiquitous power Internet of Things, while the degree of network matching severely affects the communication quality of the network. Combined with the actual topology of a medium voltage (MV) distribution network, the transmission line theory is used to derive the impedance matching relationship between the two slave nodes in the master-slave network mode. Based on this, a matching optimization method for the carrier communication of MV distribution Internet of Things based on network looseness is proposed. Firstly, a large complex distribution communication network is selected and divided into several small impedance-matching networks according to the network looseness on the trunk lines. Then, in each region, the particle swarm algorithm is applied for matching coordination to avoid power wasting and impedance mismatching among multiple communication nodes. The coordinated matching method has fast optimization speed and strong portability, and its feasibility and effectiveness are verified by theoretical derivation, simulation and laboratory test results, which provides an important theoretical basis for the planning, design and popularization of PLC technology in the ubiquitous power Internet of Things.