机电振荡模式属性和机组参与特性的量化剖析研究.docx

机电振荡模式属性和机组参与特性的量化剖析研究.docx

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机电振荡模式属性和机组参与特性的量化剖析研究.docx

机电振荡模式属性和机组参与特性的量化剖析研究*荣娜,李泽滔,韩松(贵州大学 电气工程学院,贵阳 550025)摘要:机电振荡模式属性和机组参与特性的量化剖析是大规模互联电力系统安全稳定运行的态势感知理论的基础性问题。为此本文借助相对局域性量化指标Lidx,研究了不同边界条件,涉及发电机类型、区间潮流以及旋转备用,对于机电模式的局域性和机组参与特性影响。利用PSS/E V33仿真工具,经典的2区4机系统及其变化案例的仿真结果说明,首先,Lidx指标可量化机电振荡模式属性,有潜力用于跟踪区域模式或局部模式的演化。其次,形如负荷和发电的波动以及双馈式感应发电机(DFIG)的引入产生的系统边界条件变化会使得发电机参与度发生变化,进而可能使得机电模式属性从局部模式向区域模式转变,反之亦然。最后,DFIG接入区域电网后,预测区间模式中最大参与度的发电机是可能的。关键词:机电振荡;模式属性量化;相对局域性指标;参与特性;模式演化中图分类号:TM711文献标识码:A文章编号:1001-1390(2016)00-0000-00Research of the quantification analysis on modal property and participation feature involving electromechanical oscillation modeRong Na, Li Zetao, Han Song(Department of Electrical Engineering, Guizhou University, Guiyang 550025, China)Abstract:For developing the situational awareness technology for the large scale power systems, it is important to study the quantification analysis about the property of electromechanical oscillation mode and the participation feature of generator. Therefore, this paper presents an improved quantitative indicator for the relative localness index of electromechanical oscillation mode, denoted by Lidx. Then the impacts of different boundary conditions such as generator type, power flow of tie line, and spinning reserve capacity on the modal localness of and the participation feature of generator electromechanical oscillation mode have been studied. The case studies have been carried out on a Kundur 4-machine and 2-area system and its variants, utilized by PSS/E V33, and the results verify the effectiveness of Lidx which could be helpful to track the evolution of inter-area mode or local mode. Moreover, it indicates that the participation feature of generator would be changed and consequently modal property would be transformed from local mode to inter-area mode or vice versa if the boundary condition is significantly varied for instance the fluctuations from load consuming or power generating and the integration of doubly-fed induction generator (DFIG), and vice versa. Furthermore, i

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