一种适用于风储微电网的混合储能系统的功率分配策略

李艳波; 杨凯; 陈俊硕; 姚博彬; 刘维宇; 武奇生

李艳波,杨凯,陈俊硕,姚博彬,刘维宇,武奇生.一种适用于风储微电网的混合储能系统的功率分配策略[J].电测与仪表,2025,62(2):43-50.
Li Yanbo,Yangkai,ChenJunshuo,Yao Bobin,Liu Weiyu,Wu Qisheng.Power distribution strategy for a hybrid energy storage system suitable for wind-storage microgrids[J].Electrical Measurement & Instrumentation,2025,62(2):43-50.

一种适用于风储微电网的混合储能系统的功率分配策略

Power distribution strategy for a hybrid energy storage system suitable for wind-storage microgrids

DOI：10.19753/j.issn1001-1390.2025.02.006

中文关键词: 互补集合经验模态分解法模糊控制荷电状态能量熵

英文关键词:complementary ensemble empirical mode decomposition(CEEMD), fuzzy control, state of charge (SOC), energy entropy

基金项目:国家重点研发计划项目2021YFB1600200，陕西省重点研发计划项目(2021KW-13)

作者中文名	作者英文名	单位
李艳波	Li Yanbo	长安大学能源与电气工程学院
杨凯	Yangkai	长安大学能源与电气工程学院
陈俊硕	ChenJunshuo	长安大学能源与电气工程学院
姚博彬	Yao Bobin	长安大学能源与电气工程学院
刘维宇	Liu Weiyu	长安大学能源与电气工程学院
武奇生	Wu Qisheng	长安大学能源与电气工程学院

摘要点击次数: 201

中文摘要:

混合储能系统是微电网的重要组成部分之一，研究其功率分配策略对电池的保护具有重要意义。在由超级电容-蓄电池组成的混合储能系统的基础上，提出互补集合经验模态分解的方法来平抑风力发电不稳定性而引起的功率波动。针对风力发电的波动性及不确定性，互补集合经验模态分解法能够把风电原始能量信号分解为固有模态分量和余量，通过能量熵理论求出功率一次分配分界点，即初始功率分配；提出利用模糊控制对混合储能系统的荷电状态进行优化约束，自适应调整并修正混合储能系统功率分配指令。利用MATLAB程序及Simulink仿真模型并结合算例分析，结果说明了提出的策略可以使蓄电池SOC波动不超过8%，超级电容SOC波动不超过10%，有效提高了整个系统的工作效率和使用寿命。

英文摘要:

In order to realize the low-carbon development under the double carbon background, solve the problems of multi-energy supply, energy saving and emission reduction of integrated energy system, a low-carbon optimized operation strategy of the integrated energy system including solar thermal power plant and hydrogen energy storage is proposed. By analyzing the combined operation of TES system and hydrogen energy storage system, the multi-energy storage joint supply model is established to effectively realize the mutual transfer of electric-thermal energy, improve energy utilization rate and optimize the operation flexibility of the system. Carbon trading and carbon tax are introduced into system decision-making, and a low-carbon scheduling optimized model of integrated energy system is constructed with the goal of minimizing comprehensive costs such as energy purchase cost, operation and maintenance cost and carbon trading cost. The results show that the coordinated scheduling of TES and hydrogen energy storage can effectively reduce operating costs and carbon emissions.Hybrid energy storage system is one of the important components of microgrid, and studying its power distribution strategy is of great significance for battery protection. Based on a hybrid energy storage system composed of supercapacitors and batteries, a complementary ensemble empirical mode decomposition method is proposed to smooth the power fluctuations caused by the instability of wind power generation. Aiming at the volatility and uncertainty of wind power generation, the complementary ensemble empirical mode decomposition method can decompose the original energy signals of wind power into inherent modal components and margins, and obtain the demarcation point of primary power distribution through energy entropy theory, that is, the initial power distribution. The fuzzy control is used to optimize the state of charge of the hybrid energy storage system, adaptively adjust and modify the power distribution command of the hybrid energy storage system. Using MATLAB program and simulink simulation model combined with example analysis, the results show that the proposed strategy can make the battery SOC fluctuation not more than 8%, and the supercapacitor SOC fluctuation not more than 10%, which effectively improves the work efficiency and service life of the entire system.

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