摘要
为了发展大规模互联电网态势感知的理论与方法,从依据系统规模灵活调整参数取值的角度出发,提出了一种改进的机电振荡模式相对局域性量化指标及其求解方法。首先,基于小信号模型分析系统状态矩阵的特征值,借助二分法在参与因子阈值闭区间内优化幂指数参数;然后,由归一化的参与因子获得机电振荡模式的局域性指标;相较于传统指标,所提指标计算效率高、实用性好;最后,借助MATLAB环境下的PST V3仿真工具进行IEEE 50机145母线系统和Kundur 4机11母线系统的仿真分析,结果证明了所提指标的有效性和适应性。
An improved quantitative relative-locality index of electromechanical oscillation mode and its solving method are proposed to develop the theories and methods for the situation awareness of large-scale interconnected power system,which flexibly adjusts the parameters according to the system scale. Based on the state matrix eigenvalues of small-signal model analysis system,the bisection method is applied to optimize the exponent parameters within the closed threshold interval of participation factors and the relative-locality index of electromechanical oscillation mode is then obtained from the normalized participation factors,which has higher calculation efficiency and better practicability than the traditional index. PST V3 simulation tool in MATLAB is used to carry out the simulative analysis for IEEE 50-machine145-bus system and Kundur 4-machine 11-bus system,and the results demonstrate the effectiveness and adaptability of the proposed index
出处
《电力自动化设备》
EI
CSCD
北大核心
2017年第2期140-144,共5页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(61540067
51567006)
贵州省科教青年英才培养工程项目(2012151)
贵州省科学技术基金资助项目(20132109)~~
关键词
机电振荡
相对局域性
量化指标
参与因子
态势感知
小信号模型
electromechanical oscillation
relative locality
quantitative index
participation factors
situation awareness
small-signal model
