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Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system

机译:电池储能系统平滑风能的模糊经验模态分解

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摘要

The intermittency and fluctuations of wind power cause problems in integration of wind energy systems into the grid. To smooth the fluctuations of wind power, a control scheme based on fuzzy empirical mode decomposition (EMD) is proposed with the use of battery energy storage system (BESS). With this idea, the wind power signal is decomposed via EMD and filtered into two parts: the low-frequency part is taken as the target smooth wind power for grid connect ion, and the high-frequency part is stored by BESS before connecting to the grid to compensate for the fluctuations in the original wind power signal. A fuzzy EMD filter is developed by considering constraints on both the power fluctuation rate and the state of charge (SOC) of the BESS. The performance of the proposed strategy has been examined through case study simulations, which demonstrates improvement in mitigating wind power fluctuations and also in reducing over charging/discharging operations of the integrated BESS.
机译:风能的间歇性和波动性会导致将风能系统集成到电网中的问题。为了平滑风能波动,提出了一种基于模糊经验模式分解(EMD)的控制方案,并结合了电池储能系统(BESS)。通过这种想法,风电信号通过EMD分解并过滤为两部分:将低频部分作为并网目标离子的目标平滑风能;将高频部分通过BESS存储,然后再连接到电网。电网以补偿原始风力信号的波动。通过考虑对功率波动率和BESS的荷电状态(SOC)的约束来开发模糊EMD滤波器。通过案例研究模拟,对所提出策略的性能进行了研究,结果表明,该策略在减轻风能波动以及减少集成式BESS的过充/放电操作方面均取得了进步。

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  • 作者

    Yang Xiyun; Yue Hong; Ren Jie;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 en
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