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并网变流器全工况阻抗模型的黑箱辨识方法

赵崇滨 姜齐荣

电力系统保护与控制2024,Vol.52Issue(4):48-55,8.
电力系统保护与控制2024,Vol.52Issue(4):48-55,8.DOI:10.19783/j.cnki.pspc.230838

并网变流器全工况阻抗模型的黑箱辨识方法

Black-box identification of a full operating condition impedance model of grid-tied converter

赵崇滨 1姜齐荣1

作者信息

  • 1. 电力系统及发电设备控制与仿真国家重点实验室(清华大学电机工程与应用电子技术系),北京 100084
  • 折叠

摘要

Abstract

Impedance-based analysis has become an important choice for engineering for evaluating the risk of broadband oscillation.This is because it adapts to the black-box system with unknown parameters or control structure of grid-tied converters.In this paper,the grid-following three-phase two-level converter is taken as an example.First,using harmonic linearization,the open/closed-loop theoretical full operating condition AC impedance model(IM)considering the DC coupling is rigorously deduced.In particular,the model parameters and the high-order terms of operating points are fully decoupled.Secondly,based on the features of the theoretical model,the basic principle of the black box identification method is clarified,and the numbers of operating conditions for identifying a single frequency response of the open/closed-loop IM is analyzed.Using the identified full operating condition IMs,rapid evaluation of the safe operation area of the system under various short-circuit ratios is realized,and the accuracy is verified by time domain simulations.In addition,the rationality and universality of the proposed method as well as its superiority over deep learning methods are discussed.This provides a reference for the practical application of the impedance-based method.

关键词

阻抗分析法/黑箱系统/模型辨识/全工况/稳定性分析

Key words

impedance-based analysis/black-box system/model identification/full operating condition/stability analysis

引用本文复制引用

赵崇滨,姜齐荣..并网变流器全工况阻抗模型的黑箱辨识方法[J].电力系统保护与控制,2024,52(4):48-55,8.

基金项目

This work is supported by the National Natural Science Foundation of China and Smart Grid Joint Fund Integration Project(No.U22B6008). 国家自然科学基金智能电网联合基金集成项目资助(U22B6008) (No.U22B6008)

电力系统保护与控制

OA北大核心CSTPCD

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