使用自激感应发电机运行固定转速风力发电机的最佳负载范围

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Nassim A. Iqteit, Gül Kurt, B. Çakır
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引用次数: 4

摘要

本文采用一种新的分析策略来确定固定转速风力发电机组单相电阻负荷的最佳运行区间。这个最佳范围的本质是使发电机具有稳定的电压和电流平衡,大功率和可接受的频率范围,并减轻发电机过热。根据C-2C接线方案制备发电机绕组和励磁电容,并选择合适的励磁电容值。系统导纳矩阵以正负序发电机电压为基础,采用对称分量理论计算。通过对行列式导纳矩阵大小的优化,优化了发电机的性能。此外,发电机的平衡位置可以在最大负载功率附近实现。因此,发电机(1.5 kW)的最佳电阻负荷间隔在2%电压不平衡系数左右。适当的最佳负载约为完美平衡电阻负载值的±6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal range of loading for operating a fixed-speed wind turbine using a self-excited induction generator
In the present study, a new strategy of analysis was used to determine the optimal interval of a single-phase resistive load to operate a fixed-speed wind turbine. The essence of this optimal range is to enable the generator to have stable voltages and current balances, large power, and an acceptable frequency range, and also mitigate generator overheating. The generator windings and excitation capacitances were prepared according to the C-2C connection scheme with suitable values of excitation capacitances. The admittance matrix of the system was based on positive and negative sequence generator voltages and was calculated by symmetrical components theory. The generator performance was found through optimization of the determinant admittance matrix magnitude. Moreover, balanced position of the generator can be achieved near the maximum load power. Consequently, the best interval of resistive load of the generator (1.5 kW) was found around 2% voltage unbalance factor. The appropriate optimal load was approximately ±6% of the perfect balance resistive load value.
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来源期刊
Turkish Journal of Electrical Engineering and Computer Sciences
Turkish Journal of Electrical Engineering and Computer Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
2.90
自引率
9.10%
发文量
95
审稿时长
6.9 months
期刊介绍: The Turkish Journal of Electrical Engineering & Computer Sciences is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Accepts English-language manuscripts in the areas of power and energy, environmental sustainability and energy efficiency, electronics, industry applications, control systems, information and systems, applied electromagnetics, communications, signal and image processing, tomographic image reconstruction, face recognition, biometrics, speech processing, video processing and analysis, object recognition, classification, feature extraction, parallel and distributed computing, cognitive systems, interaction, robotics, digital libraries and content, personalized healthcare, ICT for mobility, sensors, and artificial intelligence. Contribution is open to researchers of all nationalities.
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