The invention relates to a random data-based power
system small disturbance stability analysis
online identification method and belongs to the technical field of power
system operation and maintenance. The method includes the following steps that: step 1, the output power
spectral density matrix of a power
system small interference
state space model is established; step 2,
singular value decomposition is performed on the output power
spectral density matrix; step 3, automatic peak identification is performed; and step 4, system
modal parameter identification is performed. According to the random data-based power system small disturbance stability analysis
online identification method of the invention, with active power adopted as output,
singular value decomposition is performed on power
spectral density, an automatic peak
selection method is adopted to obtain related
modal parameters such as frequency and damping, and therefore, accuracy loss caused by the introduction of MAC criteriaand the
least squares method to an FDD method can be avoided, the calculation efficiency of FDD
modal parameters is greatly improved, and the problem that single channel signals cannot correctly identify a plurality of oscillation
modes can be solved; and wide-
area measurement information is utilized to identify modal parameters online, and the influence of dimension disasters can be avoided. Themethod has the advantages of simple calculation, high adaptability, and high practical application value.