Aggregation method of generator excitation system based on unified model

Abstract

The invention is an aggregation method of generator excitation system based on a unified model. The invention first proposes the selection principle of the excitation system model after aggregation; then builds a unified structure model through the state phasor coefficient matrix of the excitation system; finally uses the equivalent machine model The structural similarity between the coefficient matrix and the block diagonal matrix of the unified model and the similarity of the electrical characteristics before and after the equivalence can directly obtain the parameters of the excitation system. Compared with methods based on frequency-domain transfer function fitting and time-domain simulation optimization, the method of the present invention has no dependence on the setting of operating points or the selection of optimization directions, and is a non-iterative analytical solution method for aggregation parameters in the time domain. It is especially suitable for the actual large power grid with multiple excitation models, which can effectively simplify the calculation and improve the equivalent accuracy. The calculation amount is small, the equivalent accuracy is high, the excitation model and parameters can be obtained without iteration, and it is suitable for complex cluster aggregation with multiple excitation models.

Description

technical field [0001] The invention is a generator excitation system aggregation method based on a unified model, which belongs to the innovative technology of the application of the dynamic equivalent technology of the power system. Background technique [0002] The aggregation of excitation system is a key link of generator aggregation, which will directly affect the transient performance of the generator. At present, the weighted average method is widely used in the aggregation of excitation systems. This method is simple in process and has a small amount of calculation. It is suitable for aggregation of excitation systems with the same model structure and no significant difference in parameters. However, in the actual system, there are often differences in models and parameters in the excitation system of the generator to be aggregated, and the weighted average method that simply applies the vastly different methods cannot apply to this situation. Moreover, the weighte...

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