Research on Key Technologies of Sensing and Communication for Distributed Photovoltaic Applications

Abstract

In the new power system where the proportion of new energy is gradually increasing, a large number of photovoltaic power sources are distributed, random large loads, power electronic devices are continuously connected and applied, and the power grid becomes an active distribution network with multiple power sources, and its operation situation also shows strong randomness and uncertainty. In order to ensure the stable operation of the power grid, it is necessary to carry out real-time transmission from multiple dimensions based on complex sensing data, accurately predict grid connected power change, load change, reverse power flow overload, low-voltage and low-frequency load shedding and other indicators and identify faults. At present, there is a lack of power in multidimensional situation prediction and data communication stability. Therefore, this study conforms to the new power system multidimensional situation awareness and fusion communication architecture scheme, The IoT architecture of hierarchical collaborative control and transmission is proposed. The comprehensive performance of data access under the distributed photovoltaic access scenario is further improved by using the communication scheme strategy of carrier, wireless and wired collaborative optimization, and the capability of high-speed collection, high-speed transmission, accurate sensing and orderly control of massive node feature information for grid connected access is effectively improved.