康家玉, 史晨雨, 王素娥, 陈馨儿. 基于自适应下垂控制的多储能直流微网能量管理策略[J]. 现代电力, 2022, 39(2): 219-227. DOI: 10.19725/j.cnki.1007-2322.2021.0065
引用本文: 康家玉, 史晨雨, 王素娥, 陈馨儿. 基于自适应下垂控制的多储能直流微网能量管理策略[J]. 现代电力, 2022, 39(2): 219-227. DOI: 10.19725/j.cnki.1007-2322.2021.0065
KANG Jiayu, SHI Chenyu, WANG Sue, CHEN Xiner. Energy Management Strategy for DC Microgrid of Multi-Energy Storage Based on Adaptive Droop Control[J]. Modern Electric Power, 2022, 39(2): 219-227. DOI: 10.19725/j.cnki.1007-2322.2021.0065
Citation: KANG Jiayu, SHI Chenyu, WANG Sue, CHEN Xiner. Energy Management Strategy for DC Microgrid of Multi-Energy Storage Based on Adaptive Droop Control[J]. Modern Electric Power, 2022, 39(2): 219-227. DOI: 10.19725/j.cnki.1007-2322.2021.0065

基于自适应下垂控制的多储能直流微网能量管理策略

Energy Management Strategy for DC Microgrid of Multi-Energy Storage Based on Adaptive Droop Control

  • 摘要: 下垂控制作为实现微网协调控制与储能单元(energy storage unit,ESU)荷电状态(state of charge,SOC)均衡的典型方法,受到ESU自身的SOC、容量、极限功率限制,以及母线电压质量、不匹配线路阻抗的影响。综合上述因素,提出了一种基于自适应下垂控制的直流微网能量管理策略,ESU之间根据自身SOC与容量进行功率分配,有效地避免了ESU的过充过放,同时引入电压补偿环节与功率补偿环节,分别消除了下垂控制引起的电压偏差与线路阻抗造成的功率偏差;设置功率调整环节避免出现ESU功率分配超限。最后,通过仿真验证了所提能量管理策略的有效性。

     

    Abstract: As a typical method to implement the equilibrium between microgrid coordinated control and the State Of Charge (abbr. SOC) of Energy Storage Units (abbr. ESU), and the droop control is affected by its own SOC, capacity and ultimate capacity as well as bus voltage quality and mismatching line impedance. Synthesizing above-mentioned factors, an adaptive droop control based energy management strategy for DC microgrid was proposed. In this control strategy, the power was distributed among ESUs according to its own SOC and capacity to effectively avoid the over-charging and over-discharging of ESU, meanwhile the voltage compensation link and power compensation link were introduced in to respectively eliminate the voltage deviation caused by droop control and the power deviation caused by line impedance. The power correction link was set up to avoid the appearance the out-of-limit of power distribution among ESUs. Simulation results verify the effectiveness of the proposed energy management strategy.

     

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