An Adaptive Smart Sensor Network for Overhead Lines Thermal Rating Prediction

摘要

The need for dynamic loading of overhead lines requires reliable assessment tools that shouldnbe able to predict both the evolution of the hot-spot temperature and the associated maximumnallowed duration, at any load level and on the basis of the actual conductor thermal state andnenvironmental conditions. In order to address this problem, the paper proposes the employment ofna smart sensor network distributed along the line route. Each network’s node, starting from on-linenmeasurements, assesses, by an indirect method of parameter identification, the value of the mainnvariables which regulate the heat exchange between the conductor and its surrounding. Then,nstarting from these data, each node calculates the load capability curve by solving iteratively anbuilt in dynamic thermal model and transmits the results to a central server by a cooperative basedncommunication paradigm. To assess the performances of the proposed solution, experimentalnstudies obtained on a laboratory overhead line are presented and discussed.