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大型光伏电站电压故障鲁棒在线诊断模型

滕云 左浩 李春来 回茜

可再生能源2018,Vol.36Issue(3):380-384,5.
可再生能源2018,Vol.36Issue(3):380-384,5.

大型光伏电站电压故障鲁棒在线诊断模型

Voltage fault robust online diagnosis model for large-scale PV power plant

滕云 1左浩 1李春来 2回茜3

作者信息

  • 1. 沈阳工业大学 辽宁省多能源系统优化运行与控制技术工程研究中心,辽宁 沈阳110870
  • 2. 国网青海省电力公司 电力科学研究院,青海 西宁810008
  • 3. 国网辽宁省电力有限公司 客户服务中心,辽宁 沈阳110004
  • 折叠

摘要

Abstract

When a large-scale PV power station is connected to a node of regional power grid, there will be complex interaction between the power grid and the PV power station due to the uncertainties of the power grid and the PV power station operation, thus causing difficulties to the voltage fault diagnosis. For solving this problem, an on-line grid-connected point voltage fault diagnosis model based on the comparison of equivalent impedance modes on both sides of the grid-connected point of PV power station was presented in this paper. Considering the uncertainties of equivalent impedance module measurement on PV power station side and grid side, an on-line robust M-estimation discrimination model for voltage fault of grid-connected point was established based on impedance model; the robust M-estimation model of impedance difference between grid side and station side was established based on the robust standardization of impedance module measurement scale; according to the real-time measured values of impedance modules on both sides, the optimal impedance modulus difference criterion at the measuring moment of impedance module was given for voltage fault diagnosis. The simulation results of the 10-machine's 39-node simulation model established in this paper demonstrated the validity of the on-line robust diagnosis model for grid-connected point voltage fault based on impedance model.

关键词

电压故障诊断/鲁棒在线诊断/在线判别/光伏电站并网点

Key words

grid-connected point/on-line discrimination/PV power station/on-line robust diagnosis/voltage fault diagnosis

分类

能源科技

引用本文复制引用

滕云,左浩,李春来,回茜..大型光伏电站电压故障鲁棒在线诊断模型[J].可再生能源,2018,36(3):380-384,5.

基金项目

青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A) (2014-Z-Y34A)

国家重点研发计划项目(2017YBFB0902100). (2017YBFB0902100)

可再生能源

OA北大核心CSTPCD

1671-5292

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