分布式发电系统中的数据采集方法研究

Research on method for data collection based on distribute power generation

能源互联网是以互联网技术为核心,大规模风电、光伏以及分布式电源接入为主,对广域范围内的电源储能装置和负荷协调管理,这须要采集大量的实时数据。目前,电网对电能数据采集时间较长,难以满足能源互联网对数据实时性的要求,为此提出一种利用可逆式布鲁姆查找表储存节点数据的数据采集方法,该方法可以解决网络中不同层节点传输数据量不均衡问题,降低数据采集时间,提高数据采集的实时性。

Energy Internet use the internet technology as the core, based on distribution network,large-scale renewable energy and distributed power access to the main power supply, to achieve within the wide area, coordinated management of the energy storage device and load to achieve the above objectives, which needs to collect a large number of real-time user＇s power consumption data for analyze. Now the electricity grid company data collection only require collection one data of a day, and it take a long time, this paper does not change the hardware configuration, and propose an data collection based on invertible bloom look-up table to storage node data which can solve the unbalance problem in different network level, reduce the time of data collection, and improve the real-time of data acquisition.