基于广域信息的同调机群在线识别方法

A Wide Area Information Based Online Recognition of Coherent Generators in Power System

为充分挖掘广域测量系统(wide area measurement system,WAMS)的实测数据来提高对系统的动态监测分析和控制水平,利用WAMS得到的发电机功角信息,提出一种能够在线识别同调机群的新方法。首先通过对功角采样值进行三角函数拟合得到初步分群结果;然后利用离散Fréchet距离计算完成最终分群。该方法具有原理简单清晰、计算量小的特点,能够实时对系统进行动态分群,尤其适用于复杂互联系统。通过EPRI-36节点系统仿真算例验证了所提方法的有效性,还将所提方法与三取二分群方法进行了分群效果的对比。

To improve dynamic monitoring and control of power system by fully tapping the potential of the measured data from wide area measurement system（WAMS）, using the power-angle information of generators measured by WAMS a new method enable to online recognize coherent generators in power system is proposed. Firstly, the sampled power-angle values are fitted by trigonometric function to attain the primary result of coherency identification; and then the final result of coherency identification is achieved by calculating the discrete Fréchet distance. The proposed method is simple and clear and its calculated amount is smaller, so the dynamic online clustering of coherent generators can be implemented and it is suitable to complex interconnected power grid especially. The effectiveness of the proposed method is validated by simulation results of EPRI 36-bus system. The coherency identification results by the proposed method are compared with those by the voting clustering method, and comparison result shows that the proposed method is more accurate.