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基于幅值分布函数的换流器平均化模型及其应用
作者:
作者单位:

(1. 清华大学电机工程与应用电子技术系, 北京市 100084; 2. 中国电力科学研究院, 北京市 100192)

摘要:

随着新能源发电的迅速发展,电力系统中换流器的数量大大增加。为了提高含多换流器的电网电磁暂态仿真效率,提出一种基于幅值分布函数的换流器平均化模型,其中开关函数平均值通过Lebesque积分得到。同时,推导了该模型在Dommel方法下的等值模型,并提出一种预测校正迭代算法,求解其中的待定参数。采用新的平均化模型和算法,可以增大平均化周期,从而加快仿真速率。以含多个光伏电站的交流系统为算例,对比分析换流器的详细模型、动态平均化模型和基于幅值分布函数的平均化模型,验证了所提方法的准确性和快速性。

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基金项目:

国家电网公司科技项目(NYB17201300057)

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作者简介:


Comverter Averaged Model Based on Amplitude Distribution Function and Its Applications
Author:
Affiliation:

(1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2. China Electric Power Research Institute, Beijing 100192, China)

Abstract:

With the rapid development of renewable power, the number of converters is greatly increased. To improve the simulation efficiency, this paper proposes a novel state-space averaged pulse-width modulation(PWM)converter model. In the model, the averaged variables of switching functions are calculated based on amplitude distribution functions. Meanwhile, the Dommel equivalents of the proposed model are derived for the nodal analysis method. Besides, a predictor-correction iterative algorithm is dedicatedly designed to solve the parameters to be determined in this model. Based on the predictor-correction iterative algorithm, the proposed model can further extend the averaging period to boost simulating speed. With an AC system containing multiple photovoltaic stations as an example, by comparing the detailed model, the dynamic averaged model, and the averaged model based on the amplitude distribution model, the accuracy and rapidity of the proposed model is verified. This work is supported by State Grid Corporation of China(No. NYB17201300057).

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引用本文
[1]舒德兀,李琰,张春朋,等.基于幅值分布函数的换流器平均化模型及其应用[J].电力系统自动化,2016,40(15):73-78. DOI:10.7500/AEPS20150930002.
SHU Dewu, LI Yan, ZHANG Chunpeng, et al. Comverter Averaged Model Based on Amplitude Distribution Function and Its Applications[J]. Automation of Electric Power Systems, 2016, 40(15):73-78. DOI:10.7500/AEPS20150930002.
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  • 收稿日期:2015-09-30
  • 最后修改日期:2016-04-07
  • 录用日期:2016-03-01
  • 在线发布日期: 2016-04-01
  • 出版日期: