Research Of Peak Power Mangement Based On Spark Technology

With the rapid growth of China's economy.In some areas of China's electricity,The load growth rate is greater than the power supply rate,which leads power peaking difficulties,the decreases of energy utilization rate.In the peak period,the power supply shortage and large difference between peak load and vate load.In order to solve the above problems,reduce the peak valley difference and improve energy efficiency,This paper researches the peak power management based on Spark technology.This paper selects a large industrial user in a certain area and selects their daily load power data.Through the realization of Spark parallel Canopy-Kmeans algorithm and analysis the users of electricity data,it can get the load characteristics,then study on the peak power management whose load characteristics similar to the major power grid.peak power management techniques mainly include "type of interruptible load shifting management technology" and"Time-of-use peak power management Technology".according to China's current situation,this paper focuses on "Time-of-use peak power management".Time-of-use peak power management is mainly setting the optimal price to improve user response,achieve peak power consumption,alleviate the peak valley difference,and improve the utilization of equipment.This paper analysis the function of electricity price and load transfer rate,the optimal time-of-use price model of electricity price and user response is established.Finally,the objective function is established,and the optimal time-of-use price solution is obtained through Spark technology.The experiment shows that the peak power management technology can reduce the difference between peak and valley,At the same time,it also provides a reasonable and effective suggestion for the setting of time-sharing price in China.