基于最大似然估计框架的风力发电系统电网相互作用的电能质量改进

Farheen Chishti, Shadab Murshid, Bhim Singh
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引用次数: 0

摘要

微电网中可再生能源的间歇性表明发电不可用和波动性需要得到高度重视。在此,在本工作中,通过将电池作为储能集成到变速风力发电系统(WPGS)中,增强了运行可靠性和发电充分性。系统的电网互联和综合性能通过管理本地负载支持提供了改善电能质量(PQ),能源充足性和安全性的显着优势。电池的控制允许产生电网参考电流。电网侧功率变换器利用基于极大似然估计的自适应滤波器来改善PQ指标,解决了非线性负荷引起的普遍关注。该控制在处理负荷变化的偶然性事件时具有良好的跟踪性能。机器侧功率变换器利用矢量控制来获取开关脉冲。开发了硬件样机,测试结果表明所做的工作是有效、可靠的,并提供了改进的PQ指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grid Interaction of Wind Power Generation System Using Maximum-Likelihood Estimator Framework for Power Quality Improvement
The renewable energy intermittency indicating generation unavailability and volatility in a microgrid need to be addressed with prime attention. Here, in this work, the operational reliability and generation adequacy are reinforced by integrating a battery as the energy storage to the variable speed wind power generation system (WPGS). The grid interconnection to the system and combined performance offer significant benefits of improved power quality (PQ), energy sufficiency and surety by managing the local load support. The control of the battery allows the generation of the grid reference current. The grid side power converter utilizes the maximum-likelihood estimator based adaptive filter for improving the PQ indices by addressing the prevailing concerns stemmed by nonlinear loads. The control has high tracking performance while dealing with the contingency event of load variation. The machine side power converter utilizes vector control for obtaining the switching pulses. A hardware prototype is developed and the test results acquired substantiate that the work carried out is effective, reliable and offer improved PQ indices.
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