Optimization of Connection Mode and Analysis of Power Supply Region Characteristics of Medium Voltage Distribution Network Based on Big Data Technology
With urbanization and increasing electricity demand,optimizing the operation of medium voltage distribution networks is crucial.Research and apply big data analysis to optimize the wiring mode of distribution networks,improve power supply efficiency and quality,and introduce density peak clustering algorithm to establish a wiring mode optimization model,clarify the characteristics of power supply areas and their corresponding relationships,and use clustering methods to extract the characteristics of power supply areas from massive load data to achieve wiring mode optimization.This method expands the application scope of power supply area optimization,overcomes the limitations of traditional methods in simplifying decision variables,and has high practical value.
DPCmedium voltage distribution networkwiringfeature analysis
NETL
NSTL
万方数据
