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实时风电波动平抑与储能系统控制一体化策略OACSTPCD

Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control

中文摘要英文摘要

为解决风能波动对电力系统稳定性的影响,我们提出了一种综合方法,整合了多种策略和方法以提高系统的效率和可靠性.首先,我们采用长短期功率输出偏差限制策略实时平抑风电波动,使风电稳定在合理的范围内.其次,我们采用了滑动窗口与ICEEMDAN结合的策略,实现了对储能功率的实时分解,有助于混合储能系统内部功率的分配.最后,我们引入了一种基于规则的多模糊控制策略,用于不同储能元件初始功率分配命令的二次调整.通过仿真验证,我们所提出的综合控制策略能够实时平稳风电波动并分解储能功率.与传统的经验模态分解(EMD)、集合经验模态分解(EEMD)以及带有自适应噪声的完全集合经验模态分解(CEEMDAN)分解策略相比,SW-ICEEMDAN控制策略进一步优化的能量储存系统配置.此外,储能元件的充电状态(SOC)波动在合理范围内,增强了电力系统的稳定性,确保了储能系统的安全运行.

To address the impact of wind-power fluctuations on the stability of power systems,we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a system.First,we employ a strategy that restricts long-and short-term power output deviations to smoothen wind power fluctuations in real time.Second,we adopt the sliding window instantaneous complete ensemble empirical mode decomposition with adaptive noise(SW-ICEEMDAN)strategy to achieve real-time decomposition of the energy storage power,facilitating internal power distribution within the hybrid energy storage system.Finally,we introduce a rule-based multi-fuzzy control strategy for the secondary adjustment of the initial power allocation commands for different energy storage components.Through simulation validation,we demonstrate that the proposed comprehensive control strategy can smoothen wind power fluctuations in real time and decompose energy storage power.Compared with traditional empirical mode decomposition(EMD),ensemble empirical mode decomposition(EEMD),and complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)decomposition strategies,the configuration of the energy storage system under the SW-ICEEMDAN control strategy is more optimal.Additionally,the state-of-charge of energy storage components fluctuates within a reasonable range,enhancing the stability of the power system and ensuring the secure operation of the energy storage system.

张宇;张永康;吴铁洲

SW-ICEEMDAN混合储能系统实时平抑多规则模糊控制荷电状态

SW-ICEEMDANHESSReal-time smoothingRule-based multi-fuzzy controlSoC

《全球能源互联网(英文)》 2024 (001)

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This study was supported by the National Natural Science Foundation of China(Grant No.51677058).

10.1016/j.gloei.2024.01.007

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