A Generator Aggregation Method Applicable to Models Containing Different Orders

Abstract

The invention discloses an aggregation method suitable for generators different in order model and particularly relates to an aggregation method for the generators different in order in complex power grid simulation. Concrete requirements for the uniform form of models of a traditional aggregation method are broken through, model information of the generators to be aggregated is sufficiently utilized, firstly, the generators are grouped according to orders of the models, then the grouped generators are transferred to a virtual public busbar, and time domain coefficient matrixes brought by generator structures are used for aggregating generator groups different in order model respectively. The aggregation method suitable for the generators is good in adaptability to a system operation mode, the restraint requirement for model orders of the generators by a traditional aggregation method for the generators is omitted, and the aggregation method can be adaptive to simplifying and applying a large power grid.

Description

technical field [0001] The invention is an aggregation method suitable for generators with models of different orders, and belongs to the innovative technology of dynamic equivalence technology application in electric power system. Background technique [0002] Generator aggregation is the process of merging and simplifying multiple generators with similar dynamic characteristics, and it is the core work of dynamic equivalent simplification in power systems. Traditional aggregation methods can be roughly divided into three types: classic aggregation, detailed aggregation, and optimized aggregation. The common idea of ​​classical aggregation is weighted summation, but the component models before and after the equivalence are required to have the same structural form. The optimization aggregation is based on the optimization goal of minimizing the frequency response deviation between the transfer function of the equivalent machine and the transfer function of the generator to...

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Problems solved by technology

When the accuracy requirements for grid equivalent simplification are high, the above processing techniques are difficult to meet the actual simulation requirements

[0008] On the other hand, the traditional generator aggregation method has clear requirements on the model, and there is a strong dependence on

The difference in model order will also lead to greater difficulty in obtaining equivalent parameters of the generator

Especially for mid-processing and high-level models, it is difficult to adapt to the online application of large-scale power grids (more than 10,000 nodes and thousands of generators) in the face of comprehensive constraints such as operating point setting and optimization direction.

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