采用基于 DLMF 的自适应方法在弱交流电网中高效整合风能

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2024-07-08 DOI:10.1016/j.apenergy.2024.123779
Gajendra Singh Chawda , Abdul Gafoor Shaik , Wencong Su
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引用次数: 0

摘要

阻抗大的弱电网中的电能质量问题构成了重大挑战,限制了风能(WE)的渗透水平和现有风能基础设施的性能效率。共同耦合点 (PCC) 上非线性 (NL) 负载的存在进一步限制了这些水平。本文通过在 PCC 引入额外的分布式静态补偿器 (DSTATCOM),并采用高阶延迟最小均值第四算法 (DLMF) 进行控制,来应对这些挑战。考虑到负载、直流链路电压和风能发电量的变化,所提出的 DLMF 控制算法通过适当延迟更新各自权重来估计负载电流的有功和无功分量。通过实验研究,设计并验证了拟议控制的 MATLAB 实现。这些研究涉及不同的短路比、风速和 NL 负载的存在。结果表明,所提出的方法可将弱电网中的风能渗透水平提高 30%。
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Efficient wind energy integration in weak AC Grid with a DLMF-based adaptive approach

Power quality issues in weak grids with large impedance pose significant challenges that limit wind energy (WE) penetration levels and the performance efficiency of existing WE infrastructure. The presence of non-linear (NL) loads at the point of common coupling (PCC) further restricts these levels. This paper addresses these challenges by introducing an additional distributed static compensator (DSTATCOM) at the PCC, controlled by a higher-order Delayed Least Mean Fourth (DLMF) algorithm. The proposed DLMF control algorithm estimates the active and reactive components of the load current by updating their respective weights with appropriate delays, considering variations in loads, DC-link voltage, and wind energy generation. The MATLAB implementation of the proposed control is designed and validated through experimental investigations. These investigations involve varying short circuit ratios, wind speeds, and the presence of NL loads. The results demonstrate that the proposed method can enhance wind penetration levels in weak grids by up to 30%.

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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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