强电磁技术全国重点实验室(华中科技大学),湖北省,武汉市,430074
周航(2000),男,硕士研究生,研究方向为储能以及微电网优化运行,E-mail:z_hang2000@foxmail.com
苗世洪(1963),男,通信作者,博士,教授,博士生导师,研究方向为电力系统保护与控制、压缩空气储能系统、配电网及微电网运行优化等,E-mail:shmiao@mail.hust.edu.cn
纸质出版:2026
移动端阅览
周航, 苗世洪, 王廷涛, 等. 计及混合储能单元多重异构特性的微电网调度策略研究[J]. 现代电力, 2026,43(3):550-560.
ZHOU Hang, MIAO Shihong, WANG Tingtao, et al. Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units[J]. 2026, 43(3): 550-560.
周航, 苗世洪, 王廷涛, 等. 计及混合储能单元多重异构特性的微电网调度策略研究[J]. 现代电力, 2026,43(3):550-560. DOI: 10.19725/j.cnki.1007-2322.2024.0085.
ZHOU Hang, MIAO Shihong, WANG Tingtao, et al. Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units[J]. 2026, 43(3): 550-560. DOI: 10.19725/j.cnki.1007-2322.2024.0085.
随着储能技术的商业化发展和混合储能的推广应用,规模化储能系统日益呈现出显著的异构化特征。不同储能单元间物理特性的差异,增加了电力系统能量管理和功率分配的复杂性。为此,该文针对含异构混合储能单元的微电网优化运行策略开展研究。首先,对于微电网系统,以最大新能源消纳以及最小上级电网购电量、最低用户侧失负荷量为目标,建立含异构混合储能单元的微电网优化调度数学模型。其次,对于异构储能单元,计及异构混合储能单元功率、容量、初始荷电状态(state of charge,SOC)的差异性,提出异构储能单元聚类方法以及充放电排序策略。然后,考虑混合储能集群功率响应特性,提出含异构储能单元的微电网系统双层调度策略。最后,以某个含异构混合储能单元的微电网系统作为算例对所提方法进行验证。结果表明,该方法可以有效降低计算复杂性,实现混合储能单元间的优化协调配合。
With the commercialization of energy storage technology and the promotion of hybrid energy storage
large-scale energy storage systems are increasingly exhibiting significant heterogeneous characteristics. The differences in physical characteristics across different energy storage units increase complexity of energy management and power allocation within the power system. Therefore
we conduct research on the optimization operation strategy of microgrids incorporating heterogeneous hybrid energy storage units. Firstly
for a microgrid system
a mathematical model for microgrid optimization scheduling with heterogeneous hybrid energy storage units is established. The objective of this model is to maximize new energy consumption
minimize the purchase of electricity from the superior grid
and minimize the load loss on the user side. Secondly
for heterogeneous energy storage units
considering the disparities in power
capacity
and initial SOC of heterogeneous hybrid energy storage units
a clustering method for heterogeneous energy storage units and a charging and discharging sorting strategy are proposed. Subsequently
a dual layer scheduling strategy for microgrid systems with heterogeneous energy storage units is developed with the power response characteristics of hybrid energy storage clusters taken into account. Finally
a microgrid system containing heterogeneous hybrid energy storage units is utilized as a case study to validate the method proposed in this paper. The results demonstrate that this method effectively reduces computational complexity while achieving optimized coordination and cooperation among hybrid energy storage units.
SHAO Yuqing, ZHANG Hongjuan, GAO Yan. Multi-mode power distribution strategy with dual criteria for hybrid energy storage system in electric vehicles[J]. Modern Electric Power, 2025, 42(01): 176−182(in Chinese).
WANG Peng, DENG Xiangli, WANG Kailin. Double-layer capacity configuration method of hybrid energy storage in microgrid considering three states of wind turbines and photovoltaic units[J]. Modern Electric Power, 2023, 40(03): 323−331(in Chinese).
SUN Xiaofeng, HAO Yancong, WANG Baocheng, et al . State-of-charge balancing of distributed energy storage units and voltage restoration in microgrid[J ] . Proceedings of the CSEE, 2016, 36(15): 4047−4055(in Chinese).
DUAN Xiaohan, SUN Dan, ZHAO Chen, et al . Multi-state interval optimization strategy for energy storage clusters considering frequency regulation capability and economic benefits[J ] . Automation of Electric Power Systems, 2024, 48(05): 58−67(in Chinese).
WEI Maohua, YANG Ling, WENG Liangtao, et al . SOC balancing strategy for distributed energy storage units in isolated DC microgrids considering capacity differences[J ] . Journal of Shanghai Jiaotong University, 2025, 59(03): 376−387(in Chinese).
LU Zhigang, MIAO Zeyu, CAI Yao. Stable equilibrium control strategy for multi-energy storage SOC considering time-varying linear resistance[J]. High Voltage Engineering, 2024, 50(01): 127−137(in Chinese).
LI Janlin, TAN Yuliang, WANG Han. Design criteria of energy storage power plants and typical case studies[J]. Modern Electric Power, 2020, 37(04): 331−340(in Chinese).
LI Jianlin, LI Yaxin, LYU Chao, et al . Key technology and research status of cascaded utilization in decommissioned power battery[J ] . Automation of Electric Power Systems, 2020, 44(13): 172−183(in Chinese).
ZHAO Guangjin, LI Bowen, HU Yuxia, et al . Overview of the e chelon utilization technology and engineering application of retired power batteries[J ] . Energy Storage Science and Technology, 2023, 12(07): 2319−2332(in Chinese).
LI Yanzhe, GUO Xiaojia, DONG Haiying, et al . Optimal capacity configuration of wind/PV/storage hybrid energy storage system in microgrid[J ] . Proceedings of the CSU-EPSA, 2020, 32(06): 123−128(in Chinese).
DIAO Rui, HU Zechun, QIAN Weijie, et al . Power allocation strategy for heterogeneous energy storage system based on real-time subgradient of aging cost function[J ] . Proceedings of the CSEE, 2024, 44(22): 8884−8897(in Chinese).
SU Hao, ZHANG Jiancheng, WANG Ning, et al . Energy management strategy of large-scale hybrid energy storage system based on layered optimization[J ] . High Voltage Engineering, 2018, 44(04): 1177−1186(in Chinese).
YAN Gangui, CAI Changxing, DUAN Shuangming, et al . Operation control strategy of microgrid considering grouping optimization of battery energy storage units[J ] . Automation of Electric Power Systems, 2020, 44(23): 38−46(in Chinese).
ZHANG Xiaolian, CHEN Chong, ZHANG Yangfei, et al . Battery grouping control for wind power smoothing considering unbalanced charging and discharging[J ] . C ontrol Theory Applications, 2022, 39(03): 449−458(in Chinese).
GUO Wei, ZHAO Hongshan. Grouping control strategy of battery energy storage array based on DMPC weighted consensus algorithm[J]. Electric Power Automation Equipment, 2020, 40(01): 133−140(in Chinese).
LI Xiangjun, MA Rui. Energy management method of energy storage system considering the SOH of battery pack[J]. Power System Technology, 2020, 44(11): 4210−4217(in Chinese).
LI Jianlin, LI Yaxin, LIU Haitao, et al . Research on power distribution strategy considering the safety of energy storage power station[J ] . Transactions of China Electrotechnical Society, 2022, 37(23): 5976−5986(in Chinese).
DUAN Shuangming, YU Hang, LIU Cong, et al . Power allocation strategy for battery energy storage system considering consistency of state of health and state of charge of energy storage units[J ] . Automation of Electric Power Systems, 2023, 47(05): 65−73(in Chinese).
XU Deming, LI Ze, CUI Guozeng, et al . Distributed finite-time secondary control for heterogeneous battery energy storage systems in an islanded microgrid[J ] . Control and Decision, 2021, 36(08): 2034−2041(in Chinese).
LIU Xin, LI Xinran, TAN Zhuangxi, et al . Economic comparison of optimal strategies based on different types of energy storage batteries participating in primary frequency regulation[J ] . High Voltage Engineering, 2022, 48(04): 1403−1410(in Chinese).
WANG Ying, ZHU Shiyan, XU Yin, et al . Critical load restoration method considering coordination of multiple types of energy storage[J ] . Electric Power Automation Equipment, 2022, 42(01): 72−78(in Chinese).
LI Kai, MA Qian, XU Hongbing, et al . SOC management strategy of storage system and its impact assessment[J ] . Automation of Electric Power Systems, 2015, 39(08): 27−32(in Chinese).
0
浏览量
185
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621