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作 者:李欣然[1] 徐婷婷[1] 谭绍杰[1] 程兴婷 曾小军[1]
机构地区:[1]湖南大学电气与信息工程学院,湖南长沙410082
出 处:《系统仿真学报》2016年第4期783-792,799,共11页Journal of System Simulation
基 金:国家973重点基础研究计划(2012CB215101);国家自然科学基金(51477043)
摘 要:超级电容(Super Capacitor,SC)作为一种高功率型储能设备,其在电力系统中参与微网储能、电网二次调频、削峰填谷是当下研究的热点。构建了适用于并网仿真的超级电容二阶单体模型,并采用超级电容实物在恒电流和恒功率2种模式下的充放电数据,基于遗传算法对模型进行了参数辨识。采用所建立的超级电容并网二阶模型,在Simulink/Matlab仿真平台中构建了超级电容储能系统。将超级电容储能系统接入4节点电网仿真系统,通过对电网仿真系统进行稳态和暂态分析,提出了超级电容储能系统的动态综合等效模型,并采用遗传算法进行了参数辨识。通过联合仿真,结果表明动态综合等效模型具有良好的描述能力、参数稳定性和适用性。As a high-power energy storage device, super capacitor(SC) is applied in micro-grid energy storage, secondary frequency regulation and peak load shifting in power system, and the research of which has become a hotspot. A second-order model of SC monomer suitable for the grid simulation was established, and the parameter identification using the charge and discharge experiment data under constant current and constant power modes was conducted based on genetic algorithm. A SC energy storage system has been set up in Simulink/Matlab based on the established second-order model of SC. The integrated dynamic equivalent model of SC energy storage system was established by steady-state and transient analysis of the 4-node grid simulation system containing SC, and parameters identification was conducted with genetic algorithm. The integrated dynamic equivalent model has been proven to have good description ability, parameter stability and applicability by co-simulation.
关 键 词:超级电容储能系统 单体建模 参数辨识 负荷动态建模 遗传算法
分 类 号:TM911.3[电气工程—电力电子与电力传动]
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