Big Data Control-based Distributed Generations In Smart Micro Grid

Due to the energy crisis,the development and utilization of renewable energy has become the focus of attention.As a way to make full use of renewable energy capacity,smart microgrid has been widely applied and researched in power system.The capacity of renewable energy in smart microgrids is easily affected by natural geographical conditions,so it has the characteristics of intermittent and undulation.At the same time,these features increase the instability of productivity,and have become the main factors affecting the safe and stable operation of the power system.With the rapid development of the Internet of things and the extensive use of microgrid,a large number of intelligent sensing devices are applied to the microgrid.In the operation link of the microgrid,a variety of intelligent devices will produce a large amount of data in real time,which makes the reliability of data storage and the speed of data processing difficult.Therefore,this paper takes the data as the core driving force,firstly uses the large data technology to solve the problem of reliable storage and fast processing of massive data,and then analyses and mining the data to obtain the internal regularity.Finally,according to the obtained rule,it provides effective control strategy for the energy scheduling of the capacity system in the microgrid.In this paper,the background research of the distributed generation system in smart microgrid is carried out,and the intermittent and digitalized characteristics of the distributed generation system are summarized.According to the intermittency generation of renewable energy,the evaluation method of wind energy quality is put forward,so as to provide reference for control strategy of smart microgrid.In view of the unstable problem of the renewable energy supply in the smart microgrid,the wind power generation in the generation system is considered,the main factors affecting the wind energy are analyzed,and the main factors are quantified,and a method of evaluating the quality of wind energy is put forward.Then,according to the evaluation method of wind energy quality,the Map and Reduce process is designed.And the evaluation method of wind energy quality is empirically analyzed by the measured wind energy data of Liaoning province weather bureau.The recommended grade of wind energy is divided by the empirical results,and the recommendation grade of wind energy in different time periods is obtained.Thus,providing an effective monthly and quarterly scheduling plan for the generation system in the smart microgrid,and further promoting the rational and stable operation of the renewable energy generation of smart microgrid.Aiming at the digitalized characteristics of renewable energy power supply in smart microgrid,mass data processing Hadoop technology is introduced.The distributed file system,the parallel computing framework and the three operating modes are discussed,and the Hadoop framework is built,and the Map and Reduce process is designed according to the evaluation method of wind energy quality.