{"title":"Study on islanding detection of grid-connected distributed generations with random properties","authors":"Weimin Chen, Wei Wang, Guo-cheng Chen","doi":"10.1109/IPEMC.2009.5157822","DOIUrl":null,"url":null,"abstract":"With the development of renewable energy, distributed generations such as photovoltaic generation, wind power systems need to be connected to a utility power grid for the systems to work effectively as energy sources. Islanding detection is one of the most important techniques to develop for the distributed generation systems. A novel active islanding detection algorithm based in pseudo-random signal is proposed in this paper. The modulation waveform will be modified by a binary pseudo-random signal (M-sequence signal), then the voltage of PCC (the point of common coupling) would have random properties. When in grid-connected scenario, the voltage of PCC is dominated by voltage of power grid and the variance has no remarkable peak; however, once the islanding event takes place, the variance of PCC has a remarkable peak. Therefore the islanding can be detected by monitoring a peak of the variance. Doing simulation and experiment based on photovoltaic grid-connected generation systems, the experimental results demonstrate effectiveness and being easy to realize the proposed algorithm.","PeriodicalId":375971,"journal":{"name":"2009 IEEE 6th International Power Electronics and Motion Control Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 6th International Power Electronics and Motion Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEMC.2009.5157822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the development of renewable energy, distributed generations such as photovoltaic generation, wind power systems need to be connected to a utility power grid for the systems to work effectively as energy sources. Islanding detection is one of the most important techniques to develop for the distributed generation systems. A novel active islanding detection algorithm based in pseudo-random signal is proposed in this paper. The modulation waveform will be modified by a binary pseudo-random signal (M-sequence signal), then the voltage of PCC (the point of common coupling) would have random properties. When in grid-connected scenario, the voltage of PCC is dominated by voltage of power grid and the variance has no remarkable peak; however, once the islanding event takes place, the variance of PCC has a remarkable peak. Therefore the islanding can be detected by monitoring a peak of the variance. Doing simulation and experiment based on photovoltaic grid-connected generation systems, the experimental results demonstrate effectiveness and being easy to realize the proposed algorithm.