计及线路电阻的直流微网混合储能系统电流分配控制策略
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摘要
在研究传统混合储能电流分配控制策略的基础上,分析存在线路电阻参数时对混合储能系统电流分配的影响,提出了一种基于阻抗主动测量的改进下垂控制策略。该策略中,功率波动的低频成分仅由蓄电池补偿,而高频成分由超级电容补偿。在PSIM中搭建了包含单台蓄电池和单台超级电容的混合储能仿真电路,仿真结果表明,所提控制方法能够削弱线路参数造成的影响,实现混合储能系统的分频协调控制。
Based on the traditional hybrid energy storage current distribution and control strategy, the influence of line resistance parameters on the current distribution of hybrid energy storage system is analyzed theoretically, and an improved droop control strategy based on impedance active measurement is proposed. By using this proposed method, the low-frequency components of power fluctuation are compensated only by battery, while the high-frequency components are compensated by ultra-capacitor. Finally, a hybrid energy storage simulation model including a single battery and a single ultra-capacitor is built in PSIM. The simulation result shows that the proposed method can reduce the impact of line parameters and achieve coordinated control of the hybrid storage system with the frequencies differ.
Based on the traditional hybrid energy storage current distribution and control strategy, the influence of line resistance parameters on the current distribution of hybrid energy storage system is analyzed theoretically, and an improved droop control strategy based on impedance active measurement is proposed. By using this proposed method, the low-frequency components of power fluctuation are compensated only by battery, while the high-frequency components are compensated by ultra-capacitor. Finally, a hybrid energy storage simulation model including a single battery and a single ultra-capacitor is built in PSIM. The simulation result shows that the proposed method can reduce the impact of line parameters and achieve coordinated control of the hybrid storage system with the frequencies differ.
引文
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[11]赵晋斌,蒋伟明,孟伟,等.直流微电网中混合储能系统的动态均流控制策略[J].供用电,2018,35(9):16-21.
[12]杨捷,金新民,吴学智,等.直流微网中混合储能系统的无互联通信网络功率分配策略[J].电工技术学报,2017,32(10):135-144.
[13]徐玉韬,谈竹奎,吕黔苏,等.含电动汽车充电站的多端直流微电网研究[J].电力大数据,2018,21(6):9-16.
[14]陈天马.计及激励型需求响应的微电网可靠性分析[J].电力大数据,2018,21(2):45-53.
[2]倪驰昊,刘学智.光伏储能系统的电池容量配置及经济性分析[J].浙江电力,2019,38(1):1-10.
[3]王小蕾,顾佳,周佳威.风储联合系统的储能容量优化配置[J].浙江电力,2018,37(9):14-17.
[4]XU Q.A decentralized dynamic power sharing strategy for hybrid energy storage system in autonomous DC microgrid[J].IN IEEE Transactions on Industrial Electronics,2017,64(7):5930-5941.
[5]杨少帅,罗萍萍.带混合储能的光伏并网系统功率协调控制策略研究[J].现代电力,2019,36(1):37-44.
[6]周建萍,薛亚林,徐征.基于功率交互和充放速率优化的交直流混合微网控制策略研究[J].太阳能学报,2018,39(12):3558-3567.
[7]徐玉韬,谈竹奎,肖永,等.基于HHT与滤波算法的风电波动平抑策略研究[J].电气传动,2019,49(2):56-60.
[8]颜晨煜,樊艳芳,姚波.采用自适应变分模态分解的混合储能平滑光伏出力波动控制策略[J/OL].高电压技术:1-9[2019-03-14].https://doi.org/10.13336/j.1003-6520.hve.20181121014.
[9]马伟,王玮,吴学智,等.平抑光伏并网功率波动的混合储能系统优化调度策略[J].电力系统自动化,2019,43(3):58-69.
[10]刘琛,赵晋斌,王闪闪,等.基于单脉冲注入的直流微电网线路阻抗检测[J].电工技术学报,2018,33(11):2584-2591.
[11]赵晋斌,蒋伟明,孟伟,等.直流微电网中混合储能系统的动态均流控制策略[J].供用电,2018,35(9):16-21.
[12]杨捷,金新民,吴学智,等.直流微网中混合储能系统的无互联通信网络功率分配策略[J].电工技术学报,2017,32(10):135-144.
[13]徐玉韬,谈竹奎,吕黔苏,等.含电动汽车充电站的多端直流微电网研究[J].电力大数据,2018,21(6):9-16.
[14]陈天马.计及激励型需求响应的微电网可靠性分析[J].电力大数据,2018,21(2):45-53.