Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines

碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 101 === The harmonic impact caused by wind turbines should be carefully investigated before wind turbines are interconnected. However, the harmonic currents of wind turbines are not easily predicted due to the variations in wind speed. If the harmonic current outpu...

Full description

Bibliographic Details
Main Authors: Pa lamin, 戴沛
Other Authors: Jen-Hao Teng
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/07472063061665578959
id ndltd-TW-101NSYS5444001
record_format oai_dc
spelling ndltd-TW-101NSYS54440012015-10-13T22:40:48Z http://ndltd.ncl.edu.tw/handle/07472063061665578959 Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines 風機對配電系統之隨機諧波衝擊分析 Pa lamin 戴沛 碩士 國立中山大學 電機電力工程國際碩士學程 101 The harmonic impact caused by wind turbines should be carefully investigated before wind turbines are interconnected. However, the harmonic currents of wind turbines are not easily predicted due to the variations in wind speed. If the harmonic current outputs can be predicted accurately, the harmonic impact of wind turbines and wind farms for distribution systems can be analyzed efficiently. Therefore, this thesis analyzes the harmonic current characteristics of wind turbines and investigates the feasibility of developing harmonic current predictors. Field measurement, data sorting, and analysis are conducted for the wind turbines. Based on the proposed harmonic current predictor, the stochastic harmonic impact analysis for distribution systems with wind turbines is investigated. OpenDSS is used for harmonic impact analysis. Test results demonstrate the validity of the proposed harmonic current predictor and stochastic harmonic impact analysis. Jen-Hao Teng 鄧人豪 2013 學位論文 ; thesis 88 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 101 === The harmonic impact caused by wind turbines should be carefully investigated before wind turbines are interconnected. However, the harmonic currents of wind turbines are not easily predicted due to the variations in wind speed. If the harmonic current outputs can be predicted accurately, the harmonic impact of wind turbines and wind farms for distribution systems can be analyzed efficiently. Therefore, this thesis analyzes the harmonic current characteristics of wind turbines and investigates the feasibility of developing harmonic current predictors. Field measurement, data sorting, and analysis are conducted for the wind turbines. Based on the proposed harmonic current predictor, the stochastic harmonic impact analysis for distribution systems with wind turbines is investigated. OpenDSS is used for harmonic impact analysis. Test results demonstrate the validity of the proposed harmonic current predictor and stochastic harmonic impact analysis.
author2 Jen-Hao Teng
author_facet Jen-Hao Teng
Pa lamin
戴沛
author Pa lamin
戴沛
spellingShingle Pa lamin
戴沛
Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
author_sort Pa lamin
title Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
title_short Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
title_full Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
title_fullStr Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
title_full_unstemmed Stochastic Harmonic Impact Analysis for Distribution System with Wind Turbines
title_sort stochastic harmonic impact analysis for distribution system with wind turbines
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/07472063061665578959
work_keys_str_mv AT palamin stochasticharmonicimpactanalysisfordistributionsystemwithwindturbines
AT dàipèi stochasticharmonicimpactanalysisfordistributionsystemwithwindturbines
AT palamin fēngjīduìpèidiànxìtǒngzhīsuíjīxiébōchōngjīfēnxī
AT dàipèi fēngjīduìpèidiànxìtǒngzhīsuíjīxiébōchōngjīfēnxī
_version_ 1718079707282407424