针对风电场配置混合储能平抑风电波动场景进行研究,以满足并网要求为前提考虑风电场最大效益,提出建立一种基于共振稀疏分解（RSSD）与改进的具备自适应噪声的完全集成经验模态分解（ICEEMDAN）的自适应RSSD-ICEEMDAN混合储能平抑-配置双层规划模型。上层以风电并网功率变量最小、储能出力最小及储能充放电平衡为目标函数,采用自适应RSSD求解出混合储能充放电总控制功率,通过ICEEMDAN对混合储能充放电总控制功率进行分解并根据均值法原则分配蓄电池和超级电容器控制功率,为实现效益最大化,对分配结果进行二次修正。在上层的基础上建立下层以净效益最大、混合储能波动最小及混合储能充放电效果最佳为目标函数的混合储能最优容量配置模型,上下层相互制约实现满足并网要求的同时达到最大效益,通过多目标人工蜂鸟算法对最佳配置进行寻优求解。通过对新疆某20 MW风电场进行仿真分析,对所提模型的合理性、有效性及经济性进行验证。
Abstract
This paper studies the scenario of wind farm deploying hybrid energy storage to smooth wind power fluctuations, considers the maximum benefit of wind farms on the premise of meeting the grid-connection requirements, and proposes to establish an adaptive RSSD-ICEEMDAN hybrid energy storage smoothing-configured two-layer planning model based on the resonance sparse decomposition （RSSD） and the improved fully-integrated empirical modal decomposition with adaptive noise （ICEEMDAN）, and to establish a two-layer planning model for wind farm configuration hybrid energy storage smoothing-configured two-layer planning model. The upper layer takes the minimum wind power grid-connected power variable, the minimum energy storage output and the balance of energy storage charging and discharging as the objective function, solves the total control power of hybrid energy storage charging and discharging with adaptive RSSD, decomposes the total control power of hybrid energy storage charging and discharging with ICEEMDAN, and distributes the control power of battery and supercapacitor according to the principle of the mean value method. The distribution result is corrected twice in order to achieve the maximization of the benefit. On the basis of the upper layer, the optimal capacity allocation model of hybrid energy storage is established in the lower layer with the objective function of maximizing the net benefit, minimizing the fluctuation of hybrid energy storage and optimizing the charging and discharging effect of hybrid energy storage, and the upper and lower layers are mutually constrained to achieve the maximum benefit while meeting the requirements of the grid connection, and the optimal configuration is solved by the multi-objective artificial hummingbird algorithm for optimal searching. The rationality, validity and economy of the proposed model are verified by simulation analysis of a 20 MW wind farm in Xinjiang.
关键词
风力发电 /
混合储能系统 /
平抑功率波动 /
储能容量配置 /
共振稀疏分解
Key words
wind power generation /
hybrid energy storage system /
smoothing power fluctuations /
storage capacity allocation /
resonant sparse decomposition
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基金
国家自然科学基金（62163034）; 天山英才高层次领军人才（2022TSYCLJ0017）; 新疆维吾尔自治区重大科技专项（2022A01007-4）; 新疆维吾尔自治区自然科学基金（2022D01C664）
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