{"title":"基于LSTM和GRU网络的电能系统电能质量畸变短期预测","authors":"Ismail Bozdag, Serhat Berat Efe, Ilyas Ozer","doi":"10.24200/sci.2023.61430.7300","DOIUrl":null,"url":null,"abstract":"Technological development has led to a diversification of loads in transmission and distribution systems. The rise of non-linear loads in the system is one of the biggest effects of this variation as semiconductor technology develops. Nonlinear loads are characterized by current and voltage characteristics that are not purely sinusoidal, also known as harmonics. Harmonics cause the system insulation to degrade and increase energy loss. Therefore, it's crucial to get rid of harmonics before they occur. This study intends to lower the risk of distribution system damage by employing complex harmonic forecasting methods. An RNN-based forecasting algorithm has been created by using actual system power quality data obtained from the Organized Industrial Zone in Bandırma, Turkey. Parameters that are most likely to be neglected in simulation studies are also taken into account in the calculation by using actual data. Active power data, current harmonic data and calendar data were used together to design harmonic forecasting model. Graphs and calculations were used to discuss the results. The obtained minimum values of the RMSE, MAE, and MAPE are 2,116, 0,666 and 11,619, respectively. The convergence as a result of these calculations has allowed high forecasting performance of power quality distortions.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Short Term Forecasting of Power Quality Distortions in Electrical Energy Systems with LSTM and GRU Networks\",\"authors\":\"Ismail Bozdag, Serhat Berat Efe, Ilyas Ozer\",\"doi\":\"10.24200/sci.2023.61430.7300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Technological development has led to a diversification of loads in transmission and distribution systems. The rise of non-linear loads in the system is one of the biggest effects of this variation as semiconductor technology develops. Nonlinear loads are characterized by current and voltage characteristics that are not purely sinusoidal, also known as harmonics. Harmonics cause the system insulation to degrade and increase energy loss. Therefore, it's crucial to get rid of harmonics before they occur. This study intends to lower the risk of distribution system damage by employing complex harmonic forecasting methods. An RNN-based forecasting algorithm has been created by using actual system power quality data obtained from the Organized Industrial Zone in Bandırma, Turkey. Parameters that are most likely to be neglected in simulation studies are also taken into account in the calculation by using actual data. Active power data, current harmonic data and calendar data were used together to design harmonic forecasting model. Graphs and calculations were used to discuss the results. The obtained minimum values of the RMSE, MAE, and MAPE are 2,116, 0,666 and 11,619, respectively. The convergence as a result of these calculations has allowed high forecasting performance of power quality distortions.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2023-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24200/sci.2023.61430.7300\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24200/sci.2023.61430.7300","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Short Term Forecasting of Power Quality Distortions in Electrical Energy Systems with LSTM and GRU Networks
Technological development has led to a diversification of loads in transmission and distribution systems. The rise of non-linear loads in the system is one of the biggest effects of this variation as semiconductor technology develops. Nonlinear loads are characterized by current and voltage characteristics that are not purely sinusoidal, also known as harmonics. Harmonics cause the system insulation to degrade and increase energy loss. Therefore, it's crucial to get rid of harmonics before they occur. This study intends to lower the risk of distribution system damage by employing complex harmonic forecasting methods. An RNN-based forecasting algorithm has been created by using actual system power quality data obtained from the Organized Industrial Zone in Bandırma, Turkey. Parameters that are most likely to be neglected in simulation studies are also taken into account in the calculation by using actual data. Active power data, current harmonic data and calendar data were used together to design harmonic forecasting model. Graphs and calculations were used to discuss the results. The obtained minimum values of the RMSE, MAE, and MAPE are 2,116, 0,666 and 11,619, respectively. The convergence as a result of these calculations has allowed high forecasting performance of power quality distortions.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.