{"title":"Intelligent overcurrent protection during Ferroresonance in smart distribution grid","authors":"Salman Rezaei","doi":"10.1109/EEEIC.2019.8783752","DOIUrl":null,"url":null,"abstract":"Smart grid includes utility system and renewable Generations like wind turbine and solar panel. It stablishes bidirectional power flow and communication among utility, Dispersed Generations (DG) and consumers. In this paper, impact of ferroresonance in utility system is analyzed on electrical and mechanical parameters of DFIG (Doubly-Fed Induction Generator) and behavior of directional overcurrent relay in wind farm by PSCAD/EMTDC software. Smart grid requires a self-healing protection; hence, an intelligent overcurrent relay based on wavelet transform, neural network and time domain analysis of ferroresonance is proposed for overcurrent relay. The relay is able to comply with smart grid protection strategies. It distinguishes ferroresonance from other phenomena, which cause deviation of electrical parameters. Protection strategy determines behavior of the relay via the algorithm. It makes a suitable decision in ferroresonance to change setting parameters and direction of operation to increase reliability and availability in smart grid. The relay is also able to predict ferroresonant states in the network to indulge smart grid requirements.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"370 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2019.8783752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Smart grid includes utility system and renewable Generations like wind turbine and solar panel. It stablishes bidirectional power flow and communication among utility, Dispersed Generations (DG) and consumers. In this paper, impact of ferroresonance in utility system is analyzed on electrical and mechanical parameters of DFIG (Doubly-Fed Induction Generator) and behavior of directional overcurrent relay in wind farm by PSCAD/EMTDC software. Smart grid requires a self-healing protection; hence, an intelligent overcurrent relay based on wavelet transform, neural network and time domain analysis of ferroresonance is proposed for overcurrent relay. The relay is able to comply with smart grid protection strategies. It distinguishes ferroresonance from other phenomena, which cause deviation of electrical parameters. Protection strategy determines behavior of the relay via the algorithm. It makes a suitable decision in ferroresonance to change setting parameters and direction of operation to increase reliability and availability in smart grid. The relay is also able to predict ferroresonant states in the network to indulge smart grid requirements.
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智能配电网铁磁谐振过流智能保护
智能电网包括公用事业系统和可再生能源,如风力涡轮机和太阳能电池板。它在公用事业公司、分布式发电公司(DG)和消费者之间建立了双向的潮流和通信。本文利用PSCAD/EMTDC软件,分析了电力系统中铁磁谐振对双馈感应发电机(DFIG)机电参数和风电场定向过流继电器行为的影响。智能电网需要自愈保护;为此,提出了一种基于小波变换、神经网络和铁谐振时域分析的智能过流继电器。该继电器符合智能电网保护策略。它区别于其他引起电学参数偏差的现象。保护策略通过算法决定继电器的行为。通过对铁磁谐振的合理决策,改变设定参数和运行方向,提高智能电网的可靠性和可用性。该继电器还能够预测网络中的铁谐振状态,以满足智能电网的要求。
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