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1. 国网江苏省电力有限公司扬州供电分公司,江苏省扬州市 225000
2. 东南大学电气工程学院,江苏省南京市 210096
3. 中国电力科学研究院有限公司(南京),江苏省南京市 210003
Received:15 May 2019,
Revised:2019-09-27,
Published Online:02 March 2020,
Published:10 April 2020
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刘忠,杨陈,蒋玮等.基于一致性算法的直流微电网储能系统功率分配技术[J].电力系统自动化,2020,44(7):61-69.
LIU Zhong,YANG Chen,JIANG Wei,et al.Consensus Algorithm Based Power Distribution Technology for Energy Storage System in DC Microgrid[J].Automation of Electric Power Systems,2020,44(7):61-69.
刘忠,杨陈,蒋玮等.基于一致性算法的直流微电网储能系统功率分配技术[J].电力系统自动化,2020,44(7):61-69. DOI: 10.7500/AEPS20190515005.
LIU Zhong,YANG Chen,JIANG Wei,et al.Consensus Algorithm Based Power Distribution Technology for Energy Storage System in DC Microgrid[J].Automation of Electric Power Systems,2020,44(7):61-69. DOI: 10.7500/AEPS20190515005.
以直流微电网中的分布式储能系统为研究对象,分析了储能单元间存在的功能、参数和信息的不对称性,并提出了混合储能单元多工作模式下最大输出功率及等效荷电状态(SOC)的评估方法。在此基础上,提出了一种基于离散一致性算法的分布式储能系统负荷功率分配分层控制策略:在下层,以储能单元多模式参数评估为依据,使用动态下垂控制对各储能单元输出功率进行一次分配;在上层,以减小分布式储能系统等效SOC差异为目标,利用相邻单元之间的的弱通信,使用离散一致性算法产生电流修正量,直接调节下垂控制电流参考值,动态调整处于不对称工作状态的各混合储能单元的输出功率。最后,在MATLAB/Simulink中建立了仿真模型,对所提控制策略进行了仿真验证。
By studying on the distributed energy storage system in DC microgrid
the asymmetrical characteristics in performance
parameters and information between the energy storage units are analyzed. Consequently
the maximum output power and the equivalent state of charge (SOC) evaluation methods for the hybrid energy storage units considering the multiple operation modes are proposed. On this basis
a hierarchical control strategy for load power distribution of distributed energy storage system is proposed based on the discrete consensus algorithm
which includes two layers. In the lower layer
based on multi-mode parameter evaluation of energy storage unit
the dynamic droop control is used to allocate the output power of each energy storage unit. In the upper layer
with the purpose of reducing the difference of equivalent SOC of distributed energy storage system and using the weak communication between adjacent units
the current correction signals are generated by discrete consensus algorithm to directly adjust the droop control current reference value and dynamically adjust the output power of each hybrid energy storage unit in an asymmetric working state. Finally
a simulation model is built in MATLAB/Simulink to verify the proposed control strategy.
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