{"title":"Evaluation of Power Quality in Distribution System with High Penetration of Wind Power Generation","authors":"N. K. Swarnkar, Om Prakash Mahela, M. Lalwani","doi":"10.1109/i-PACT52855.2021.9696822","DOIUrl":null,"url":null,"abstract":"In this paper, evaluation of power quality (PQ) disturbances observed with a distribution system with availability of high penetration of wind power generation is achieved using the hybrid algorithm designed applying the Hilbert transform (HT) and Stockwell transform (ST). An index for PQ identification (IPI) and an index for event location (IPL) have been designed by processing the voltage signals using the ST and HT. IPI index effectively recognize PQ issues associated with utility grid with availability of high wind energy penetration. This is achieved for the grid operations such as switching of the loads & capacitors, feeder operations, wind power plant operations and island formation in the presence of high wind power generation. These events have been categorized using the decision rules driven by the features computed from the IPI and IPL indices. Proposed method performs better relative to Discrete Wavelet transform (DWT) based technique. Results are validated in MATLAB using an IEEE-13 node test network interfaced with wind power plants.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT52855.2021.9696822","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
In this paper, evaluation of power quality (PQ) disturbances observed with a distribution system with availability of high penetration of wind power generation is achieved using the hybrid algorithm designed applying the Hilbert transform (HT) and Stockwell transform (ST). An index for PQ identification (IPI) and an index for event location (IPL) have been designed by processing the voltage signals using the ST and HT. IPI index effectively recognize PQ issues associated with utility grid with availability of high wind energy penetration. This is achieved for the grid operations such as switching of the loads & capacitors, feeder operations, wind power plant operations and island formation in the presence of high wind power generation. These events have been categorized using the decision rules driven by the features computed from the IPI and IPL indices. Proposed method performs better relative to Discrete Wavelet transform (DWT) based technique. Results are validated in MATLAB using an IEEE-13 node test network interfaced with wind power plants.