Converter multi-scale modeling method based on microscopic and macroscopic description

Abstract

The invention discloses a converter multi-scale modeling method based on microscopic and macroscopic description. The converter multi-scale modeling method comprises the steps: 1) selecting a topological structure and an auxiliary circuit of a converter, and analyzing the to-be-observed scale of the converter; (2) determining a level needing to be developed in research, and selecting a multi-scalecomponent according to the level; 3) selecting a physical field factor according to the converter operation environment; 4) determining a research mode by utilizing the information; 5) selecting components and nodes for multi-scale observation, and respectively setting a consistency observation point, a reliability observation point and a corresponding error rate delta; and (6) judging an error between the macroscale and a set reference value through an observation point, switching the microscale for calculation when the error of the macroscale is greater than a set error rate delta, and correcting parameters of the macroscale by utilizing an obtained result to finish data conversion between the scales. According to the converter multi-scale modeling method, the coupling relation betweentransient dynamic characteristics of all components and circuits is introduced into modeling of the power electronic converter, and accurate simulation, control and reliability analysis of the systemare achieved.

Description

technical field [0001] The invention relates to the technical field of electric energy converter design and reliability analysis, in particular to a multi-scale modeling method for converters based on microcosmic and macroscopic descriptions. Background technique [0002] Various dynamic problems with unknown mechanisms continue to appear in the existing power system, posing a major threat to the safety, stability and operation of the power system. Among them, the power electronic converter with the highest failure rate is a complex system, and many of its physical phenomena have multi-scale characteristics. For example, power electronic equipment in power generation, transmission, and distribution loads have strong nonlinear coupling relationships and complex interaction processes. The observation of its working process in engineering practice is often carried out on different scales. The scale involves from the nanoscale to the kilometer scale, from the picosecond scale t...

AI Technical Summary

Problems solved by technology

However, mathematical models describing power electronic systems have high-order nonlinearities and are often very rigid

The transient process of the nonlinear system can only be solved by the numerical solution method of the conventional differential equation, the simulation time is long and the numerical stability is poor

Although quantum methods can achieve the above calculations, due to the limitation of computing resources, it is impossible to consider all scales at the same time

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