GUO Beiyuan;YIN Yanhe;RUAN Zhijie;ZHOU Gui;LIUJin;LU Xiaohai;RUAN Dabing;

• 1:Zhongshan Power Supply Bureau of Guangdong Power Grid Co.
• 2:Ltd.

Abstract：

A hybrid energy storage system(HESS) composed of batteries and supercapacitors can effectively mitigate the impact of photovoltaic(PV) output randomness and fluctuation on grid connection. To compensate for prediction errors and suppress power fluctuations, this paper proposes a hybrid energy storage capacity optimization method based on the improved crested porcupine optimizer, variational mode decomposition, and Hilbert transform(ICPO-VMD-HT) algorithm. Firstly, a comprehensive target domain is established based on quantified power prediction errors and an allowable fluctuation bandwidth. Then, leveraging the parameters of the ICPO and VMD, the HT is employed to achieve precise decomposition of the power components inside and outside this comprehensive target domain. Subsequently, the low-frequency and high-frequency power components are allocated to the batteries and supercapacitors, respectively. Finally, an economic model for the annual comprehensive cost is established. Case studies using actual data from a PV plant in Hebei Province verify the effectiveness and superiority of the proposed method.

Key Words： photovoltaic-storage system;hybrid energy storage;capacity configuration;power prediction;CPO;VMD;HT

Abstract:

Keywords:

Foundation: 南方电网公司科技项目（GDKJXM20240575）

Authors: GUO Beiyuan;YIN Yanhe;RUAN Zhijie;ZHOU Gui;LIUJin;LU Xiaohai;RUAN Dabing;

DOI: 10.19585/j.zjdl.202603012

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