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含分布式混合储能系统的光伏直流微网能量管理策略
引用本文:李培强,段克会,董彦婷,贺悝,谭庄熙.含分布式混合储能系统的光伏直流微网能量管理策略[J].电力系统保护与控制,2017,45(13):42-48.
作者姓名:李培强  段克会  董彦婷  贺悝  谭庄熙
作者单位:湖南大学电气与信息工程学院,湖南 长沙 410082,湖南大学电气与信息工程学院,湖南 长沙 410082,湖南大学电气与信息工程学院,湖南 长沙 410082,湖南大学电气与信息工程学院,湖南 长沙 410082,湖南大学电气与信息工程学院,湖南 长沙 410082
基金项目:国家自然科学基金项目(51277055)
摘    要:为了更好地管理大规模分布式光伏发电单元,将光伏直流微网划分为不同区域,且在不同区域配置了相应容量的混合储能单元与区域控制器以实现区域自治。根据各区域光伏电池输出功率与负荷功率间的关系以及储能单元荷电状态(SOC)的不同将系统分为5种运行模式,给出了不同运行模式下的能量管理策略,设计了光伏电池Boost变换器与储能双向DC/DC变换器的控制策略。最后,在Simulink中搭建了一个含多区域的光伏直流微网仿真模型。结果表明,所提方法在保证系统稳定运行的前提下,优化了各元件的出力。

关 键 词:直流微网  分布式混合储能  区域自治  能量管理  控制策略
收稿时间:2016/7/6 0:00:00
修稿时间:2016/9/10 0:00:00

Energy management strategy for photovoltaic DC microgrid with distributed hybrid energy storage system
LI Peiqiang,DUAN Kehui,DONG Yanting,HE Li and TAN Zhuangxi.Energy management strategy for photovoltaic DC microgrid with distributed hybrid energy storage system[J].Power System Protection and Control,2017,45(13):42-48.
Authors:LI Peiqiang  DUAN Kehui  DONG Yanting  HE Li and TAN Zhuangxi
Affiliation:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China and College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Abstract:In order to better manage the large-scale distributed photovoltaic power generation units, this paper divides the photovoltaic DC microgrid into regions and each region is equipped with hybrid energy storage unit with certain capacity and regional controller to realize regional autonomy. According to the relationship between the output power of each regional PV and load power as well as the difference SOC among energy storage units, the system is divided into five operation modes. The energy management strategy under different operating modes is given, and the control strategy of Boost converter for PV and bi-directional DC/DC converter for energy storage units is designed. Finally, a photovoltaic DC microgrid that contains multiple regions is built in Simulink, and the results show that the proposed method can optimize the output of the element under the premise of ensuring the stable operation of the system. This work is supported by National Natural Science Foundation of China (No. 51277055).
Keywords:DC microgrid  distributed hybrid energy storage (DHESS)  regional autonomy  energy management  control strategy
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