基于LSTM和GRU网络的电能系统电能质量畸变短期预测

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-08-23 DOI:10.24200/sci.2023.61430.7300
Ismail Bozdag, Serhat Berat Efe, Ilyas Ozer
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引用次数: 0

摘要

技术的发展导致了输配电系统负荷的多样化。随着半导体技术的发展,系统中非线性负载的增加是这种变化的最大影响之一。非线性负载的特点是电流和电压特性不是纯正弦的,也称为谐波。谐波导致系统绝缘退化,增加能量损耗。因此,在谐波出现之前消除它们是至关重要的。本研究旨在利用复杂谐波预测方法来降低配电系统的损坏风险。利用土耳其Bandırma有组织工业区的实际系统电能质量数据,建立了一种基于rnn的预测算法。在模拟研究中最容易被忽略的参数也在使用实际数据的计算中得到考虑。结合有功功率数据、电流谐波数据和日历数据,设计了谐波预测模型。用图表和计算来讨论结果。得到RMSE、MAE和MAPE的最小值分别为2116、0666和11619。这些计算结果的收敛性使得电能质量失真的预测性能很高。
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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.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
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.
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