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基于单机模型扩展的直驱风电场通用等值模型构建方法

李东晟 曹仟妮 赖启平 沈沉

电力系统自动化2025,Vol.49Issue(8):21-29,9.
电力系统自动化2025,Vol.49Issue(8):21-29,9.DOI:10.7500/AEPS20240324001

基于单机模型扩展的直驱风电场通用等值模型构建方法

Generalized Equivalent Model Construction Method for Wind Farm with Direct-drive Turbines Based on Single-machine Model Extension

李东晟 1曹仟妮 1赖启平 1沈沉1

作者信息

  • 1. 清华大学电机工程与应用电子技术系,北京市 100084
  • 折叠

摘要

Abstract

Constructing the dynamic equivalent model of wind farms is the basis for analyzing the grid-connected wind power system.Currently,the commonly used multi-machine equivalent modeling methods for wind farms need to reconstruct the equivalent model according to the clustering indicators for different operation scenarios.When used for online dynamic security analysis,the equivalent model needs to be continuously reconstructed,which affects the efficiency.Therefore,it is necessary to establish a generalized equivalent model for wind farms applicable to any operation scenario.Based on this,a generalized equivalent model construction method for wind farms with direct-drive turbines is presented.First,the neural network structure and input parameters are designed,and a generalized neural network model for the single permanent magnet synchronous generator(PMSG)is constructed.Then,through the equivalent calculation of input parameters,the single-machine generalized model is extended to wind farms,and a generalized equivalent model construction method for wind farms is developed.Finally,a simulation integration method for a generalized equivalent model is studied based on the CloudPSS electromagnetic transient simulation platform,and the effectiveness of the proposed model is verified through simulation.

关键词

风电场/等值模型/神经网络/电磁暂态仿真

Key words

wind farm/equivalent model/neural network/electromagnetic transient simulation

引用本文复制引用

李东晟,曹仟妮,赖启平,沈沉..基于单机模型扩展的直驱风电场通用等值模型构建方法[J].电力系统自动化,2025,49(8):21-29,9.

基金项目

国家自然科学基金联合基金资助项目(U2166601). This work is supported by National Natural Science Foundation of China(No.U2166601). (U2166601)

电力系统自动化

OA北大核心

1000-1026

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