2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)最新文献_第8页

Analysis, design and real-time implementation of shunt active power filter for power quality improvement based on predictive direct power control 基于预测直接功率控制的电能质量改进并联有源滤波器的分析、设计和实时实现

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884400

Oualid Aissa, S. Moulahoum, I. Colak, B. Babes, N. Kabache

{"title":"Analysis, design and real-time implementation of shunt active power filter for power quality improvement based on predictive direct power control","authors":"Oualid Aissa, S. Moulahoum, I. Colak, B. Babes, N. Kabache","doi":"10.1109/ICRERA.2016.7884400","DOIUrl":"https://doi.org/10.1109/ICRERA.2016.7884400","url":null,"abstract":"This paper discusses the use of the concept of classical and predictive direct power control for shunt active power filter. These strategies are used to improve the active power filter performance by compensation of the reactive power and the elimination of the harmonic currents drawn by non-linear loads. A theoretical analysis followed by a simulation using Matlab/Simulink software for the studied techniques have been established. Moreover, two tests bench have been carried out using the dSPACE card 1104 for the classic and predictive DPC control in order to evaluate the studied methods in real time. Obtained results are presented and compared in the present paper to confirm the superiority of predictive technique. To overcome the pollution problems caused by the consumption of fossil fuels, renewable energies are the alternatives recommended to ensure green energy. In the same context, the tested predictive filter can be easily supplied by a renewable energy source that will give its impact to enhance the power quality.","PeriodicalId":287863,"journal":{"name":"2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122753354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Evaluation of state-based controlled STATCOM for DFIG-based WECS during voltage sags 电压跌落时基于dfig的WECS状态控制STATCOM的评估

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884381

J. Chhor, P. Tourou, C. Sourkounis

引用次数: 17

Stability characteristics of digital peak current control DC-DC converter under input voltage fluctuation 输入电压波动下数字峰值电流控制DC-DC变换器的稳定性特性

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884435

K. Kajiwara, H. Maruta, Y. Shibata, F. Kurokawa

引用次数: 5

The analysis of wind speed potential and energy density in ankara 安卡拉风速势和能量密度分析

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884469

O. Kaplan, M. Temiz

引用次数: 12

Forecasting variation of solar radiation and movement of cloud by sky image data 利用天象资料预测太阳辐射变化和云的运动

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884369

Takuo Koyasu, K. Yukita, Kastuhio Ichiyanagi, M. Minowa, M. Yoda, K. Hirose

引用次数: 13

Research of several reference current extracting methods in time domain 研究了几种时域参考电流提取方法

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884413

Lanfang Li, Xiaogang Xu, Yingpin Wang, Yunxiang Xie, Xiaoyu Zhang, Zhiwu Zeng

引用次数: 1

Dynamic performance of wind-driven self-excited reluctance generator under varying wind speed and load 风动自激磁阻发电机在不同风速和负载下的动态性能

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884388

A. Ogunjuyigbe, T. Ayodele, B. Adetokun, A. Jimoh

{"title":"Dynamic performance of wind-driven self-excited reluctance generator under varying wind speed and load","authors":"A. Ogunjuyigbe, T. Ayodele, B. Adetokun, A. Jimoh","doi":"10.1109/ICRERA.2016.7884388","DOIUrl":"https://doi.org/10.1109/ICRERA.2016.7884388","url":null,"abstract":"This paper presents the dynamic performance of a wind-driven self-excited reluctance generator (WDSERG) to obtain a desired output voltage under a stochastic wind speed variation and changing load. The dynamic model of SERG is developed and utilised to simulate the WDSERG in the MATLAB-Simulink environment. A stochastic wind speed profile is generated using weibull distribution. The excitation capacitance required to maintain the output voltage at a desired level is computed for each wind speed and load. The obtained capacitance value is utilised to provide the required excitation for the self-excited reluctance generator (SERG). Different scenarios of load conditions are considered and an optimal capacitance value is determined and selected for each load cases. The results show that in spite of the variation in wind speed or load, a desired output voltage level within predetermined limits is obtained. This illustrates that variable excitation capacitance can be utilised to follow the wind speed in order to produce a desired output voltage level under any given operating conditions of wind speed and terminal load, within the steady state limits of the SERG. Therefore, this can offer an effective and low-cost solution for output voltage control of WDSERG, particularly in remote locations.","PeriodicalId":287863,"journal":{"name":"2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"227 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120878947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Fault diagnosis of photovoltaic modules using AC impedance spectroscopy 基于交流阻抗谱的光伏组件故障诊断

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884539

Suguru Osawa, T. Nakano, S. Matsumoto, N. Katayama, Yusuke Saka, Hiroki Sato

{"title":"Fault diagnosis of photovoltaic modules using AC impedance spectroscopy","authors":"Suguru Osawa, T. Nakano, S. Matsumoto, N. Katayama, Yusuke Saka, Hiroki Sato","doi":"10.1109/ICRERA.2016.7884539","DOIUrl":"https://doi.org/10.1109/ICRERA.2016.7884539","url":null,"abstract":"Availability of photovoltaic module fault diagnosis using AC impedance spectroscopy were investigated. Recently, there have been many reports about degradation and failure which occur to polycrystalline silicon photovoltaic modules. Because of these reasons, various diagnosis tools for photovoltaic modules have been invented and introduced; however, the fault mode is hard to determine. Thus, we have been proposing the application of AC impedance spectroscopy, which is widely used to evaluate electrochemical devices, as a diagnosis tool for photovoltaic modules. In this study, we conducted crack test and interconnect ribbon disconnection test to obtain and compare impedance characteristics and I-V characteristics. Equivalent circuit parameters calculated from Nyquist plots as impedance characteristics yielded information to differentiate the fault mode of photovoltaic modules; cracks on photovoltaic modules decrease the parallel resistance and increase the parallel capacitance; interconnect ribbon disconnection increases the series resistance and decreases the parallel resistance. We concluded that AC impedance spectroscopy can detect failures themselves and probably differentiate failure types of photovoltaic modules that cannot be distinguished using I-V characteristics.","PeriodicalId":287863,"journal":{"name":"2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123124149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Matlab/gui based wind turbine generator types on smart grid systems 基于Matlab/gui的智能电网风力发电机组类型

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884514

M. Ayaz, I. Colak, R. Bayindir

引用次数: 10

Grid support functionalities based on modular multilevel converters with synchronous power control 基于同步功率控制的模块化多电平变换器的电网支持功能

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) Pub Date : 2016-11-01 DOI: 10.1109/ICRERA.2016.7884399

Cristian Verdugo, J. I. Candela, P. Rodríguez

引用次数: 20