【摘要】 提出了基于特征结构分析法（ＥＳＡ）的电力系统静态电压稳定分析的新算法。该算法对电力系统的潮流模型的雅可比矩阵的结构和特点进行了分析，研究了与静态电压稳定有较大关系的最小特征值、相应的特征向量、最小特征值的灵敏度等。通过对它们的分析来估计系统的静态电压稳定状况，确定补偿措施。由于系统正常工况下最小特征值的灵敏度与重负荷工况下灵敏度差别较大，因此应对在重负荷时有较大灵敏度的注入量进行补偿，提高静态电压稳定能力。经实际计算表明新算法是有效的。还给出了一种电压稳定性分析中的病态潮流方程的解法。更多还原

【Abstract】 A new algorithm used for power system steady state voltage stability analysis based on eigenvalue structure analysis (ESA) method is proposed. The minimum eigenvalues, which have relation to steady state voltage stability, are studied in the algorithm based on the analysis of structure and characteristic of Jacobian matrix. Steady state voltage can be evaluated and compensation measure can be decided with application of the developed algorithm. Because of larger difference of sensitivity of minimum eigenvalue between normal load state and heavy load state, so injections with larger sensitivity have to be compensated to increase steady state voltage stability in heavy load condition. Sample system calculation shows that the algorithm is valid. Method for solving ill flow equations, which is often used in the calculation of heavy loading power flow, is presented for steady state voltage stability analysis.更多还原