Application of Data-driven Topology Recognition Technology in Substation Load Regulation
With the rapid development of new power systems,the proportion of distributed new energy and new electricity loads in intelligent distribution areas has increased,posing great challenges to the refined operation of low-voltage distribution systems.To this end,the system sorted out the typical classifications and regulatory requirements of current load regulation,discussed their advantages and disadvantages,applicability,and implementation difficulties,a data-driven framework for low-voltage substation load regulation was proposed.By perceiving and processing the data of intelligent sensing and measuring devices provided by intelligent collection devices,and integrating topology recognition technology,the problem of obtaining accurate user variable relationships was solved.The results indicate that data-driven topology recognition technology is helpful for implementing fine load regulation in low voltage power stations and supporting the safe and stable operation of new power systems.
low-voltage substation areaload regulationtopology identificationnew energy consumptiondata driven
万方数据
维普
