Critical cluster identifying method for transient stability analysis of power system

Abstract

The invention discloses a critical cluster identifying method for transient stability analysis of a power system. The critical cluster identifying method comprises the following steps: obtaining a critical clearing time of a fault by using time domain simulation; obtaining a critical stable track and a critical unstable track of the power system according to the critical clearing time; determining a leading unstable balance point according to the critical stable track and the critical unstable track so as to obtain a power angle of each generator at the leading unstable balance point; carrying out simulation according to the actual clearing time of the fault so as to obtain a fault track; calculating the sensitivity of an energy margin to the mechanical power of each generator according to the fault track and the power angle of each generator at the leading unstable balance point; and identifying generators of a predetermined number in the generators, of which the calculation results of the sensitivities are negative values, as the critical cluster. According to the critical cluster identifying method for transient stability analysis of the power system, the critical cluster is identified according to the sensitivity of the mechanical power of each generator based on the energy margin; the identification accuracy is improved; and the situation of misjudgment is reduced.

Description

Technical field [0001] The invention relates to the technical field of power system analysis, in particular to a critical machine group identification method for power system transient stability analysis. Background technique [0002] Transient stability is an important part of power system security and stability. The grid operation department needs to perform a large number of transient stability calculations for the expected operation mode to ensure that the grid can maintain transient stability under the expected failure. In transient stability analysis, the identification of critical clusters is of great significance for stability control. The critical unit under a certain fault is the generator that has the greatest impact on the transient stability of the system under the fault. If the system is transiently unstable under this fault, the optimal control strategy is to reduce the mechanical power of the critical unit and increase the mechanical power of other units accordi...

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Problems solved by technology

However, this method lacks a strict theoretical basis, and misjudgment may occur, and it is impossible to find out the real unit that has the greatest impact on the transient stability of the system.

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