风电集群功率波动下系统关键变量提取及特性分析

Extraction and Analysis of Power System Key Variables Considering Power Fluctuation of Wind Farm Clusters

风电集群功率波动对电力系统运行特性的影响日趋显著。对风电出力波动性对系统运行的影响进行了量化评估,借助多维空间上的系统关键变量集来描述电网受风电集群功率波动的影响程度,给出关键变量集的确定原则;提出一种灵敏度分析、PV分析和动态仿真相结合的方法,确定能反映风功率波动下系统主导动态特性的关键变量集。最后以含风电集群的内蒙古实际电网为例,对风电集群功率波动下的系统关键变量集进行提取并对风电集群典型日波动场景下的系统关键变量漂移特性进行分析。通过关键变量和非关键变量的漂移特性对比,验证了该方法的可行性和有效性。

Power fluctuation of wind farm clusters is having an increasingly significant influence on power system operation characteristics. In this paper, with certain principles, a key variable set defined on multi-dimensional space is determined to describe the influence of wind power fluctuation on power system. A new method which combines sensitivity analysis, PV analysis with dynamic simulation is proposed to extract the key variable set that can best reflect power system dynamic characteristics under wind power fluctuation. And then Inner Mongolia Grid is used as an example to apply the method, further, drift characteristics of the key variables under typical power fluctuation of wind farm clusters are analyzed. The comparison of the drift characteristics between the key variables and the non-key variables verifies the feasibility and validity of the method.