一种基于自适应下垂系数的虚拟惯性控制策略  被引量:1

A virtual inertia control strategy based on adaptive droop coefficient

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作  者:柴英博 解璞 Chai Yingbo;Xie Pu(School of Vehicle and Electrical Engineering,Army Engineering University,Shijiazhuang 050003,China)

机构地区:[1]陆军工程大学车辆与电气工程系,石家庄050003

出  处:《电测与仪表》2021年第6期153-160,共8页Electrical Measurement & Instrumentation

摘  要:由于直流微网中元件的特性与采用的控制方法,其往往呈现出惯性小的特点。当负载突变时,电压也会发生剧烈变化。针对此问题,文中提出了一种改进的下垂控制方法,并将电压变化率引入下垂系数中,控制了蓄电池的充放电动作,使得微网在原有储能元件的基础上进一步增大了惯性。详细讨论了算法中的一些细节问题,在MATLAB/Simulink中搭建包含了光伏电池及蓄电池的多端直流微网,并进行仿真验证。结果表明,所提算法能够减轻由于负载突变带来的电压剧烈变化,具有有效性与可行性。As the results of the characteristics of the components and the control methods used in the DC micro-grid,it presents the characteristics of small inertia.When the load mutates,the voltage also changes violently.In view of this problem,an improved droop control method is proposed in this paper,and the voltage change rate is introduced into the droop coefficient.The charging and discharging actions of the battery is controlled,so that the inertia of the micro-grid further increases on the basis of the original energy storage elements.Some detailed problems in the algorithm are discussed in detail,and a multi-terminal PV-battery-based DC micro-grid is established in MATLAB/Simulink,in which the simulation verification is carried out.The results show that the proposed algorithm can alleviate the drastic change of voltage caused by load mutation,which is effective and feasible.

关 键 词:直流微网 下垂控制 虚拟惯性 

分 类 号:TM721[电气工程—电力系统及自动化]

 

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