基于最大熵谱估计的风电功率周期特性研究  

STUDY ON PERIODICITY OF WIND POWER BASED ON MAXIMUM ENTROPY SPECTRUM ESTIMATION

作　　者：徐海翔 崔正湃 吴林林 王若阳 刘辉 Xu Haixiang1,2, Cui Zhengpai2, Wu Linlin1, Wang Ruoyang2, Liu Hui 1(1. State Grid Jibei Electric Power Co., Ltd. Research Institute, Beijing 100045, China ; 2. State Grid Jibei Electric Power Co., Ltd., Beijing 100054, China)

机构地区：[1]国网冀北电力有限公司电力科学研究院

出　　处：《太阳能学报》2018年第9期2425-2431,共7页Acta Energiae Solaris Sinica

基　　金：国家重点研发计划(2016YFB0900501)

摘　　要：基于中国华北某省级电网千万kW级风电场群实测数据，采用最大熵谱估计方法研究该地区风电功率周期分量的时空分布特性。分析结果表明，随着风资源增强，风电功率的周期分量呈集中趋势，相应的周期值呈增大趋势；随着风电装机容量的增加，风电功率周期分量呈增大趋势。通过对风电功率间歇性——周期特性潜在规律挖掘，以期对风电功率预测、优化调度等发挥指导作用。Because the wind power has the natural characteristic of intermittent, fluctuation and randomness, large scale wind power will make negative influence on the safe and stable operation of power grid. So, based on the wind power measured data of a province in North China which possesses gigawatt level capacity of wind farms group, this article uses the maximum entropy spectrum estimation method to study the time and space distribution characteristics of wind power periodicity. Analysis results show that wind power periodic component will get concentrated with the improvement of wind resources, and wind power period will be larger with the augment of wind power capacity. By mining the potential rule of intermittent wind power, this article in order to play a guiding role on power prediction, optimal scheduling, etc.

关 键 词：最大熵 风电功率 周期分量 功率谱估计 时空特性 

分 类 号：TM614[电气工程—电力系统及自动化]