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作 者:曹以龙 涂少博 帅禄玮 江友华 CAO Yilong;TU Shaobo;SHUAI Luwei;JIANG Youhua(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
机构地区:[1]上海电力大学电子与信息工程学院,上海200090
出 处:《电源学报》2022年第1期65-74,共10页Journal of Power Supply
基 金:上海市科技创新行动计划地方院校能力建设资助项目(15110900500)。
摘 要:在混合储能系统中,常采用隔离型三端口有源全桥TAB(triple active bridge)变换器作为功率变换器。针对该变换器的控制变量之间存在耦合以及模型的非线性问题,提出一种基于量子粒子群优化QPSO(quantum-behaved particle swarm optimization)算法和双线性插值的改进解耦控制方法。传统的TAB解耦控制策略仅注重系统在理想情况下的能量传输模型,在实际应用中控制效果较差。将TAB变换器的软开关范围和开关损耗融入到解耦控制中,并采用QPSO算法对解耦相关的非线性方程组进行离线求解,生成稳态工作点表格,有效提高了系统的控制效果。此外,针对实际工况中解耦表格数据量过大的问题,采用双线性插值算法,在保证系统控制稳定性的同时,大大降低了存储表格的数据量。最后,通过仿真以及实验验证了所提方法的可行性。In a hybrid energy-storage system,the isolated triple active bridge(TAB)is often used as a power con-verter.Aimed at the coupling between the control variables of this converter as well as the problem of nonlinearity in the model,an improved decoupling control method based on quantum-behaved particle swarm optimization(QPSO)and bilinear interpolation algorithms is proposed.Since the traditional TAB decoupling control strategy only focuses on the energy transfer model of the system under ideal conditions,the control effect of this model is poor in practical applications.In this paper,the soft switching range and switching loss of the TAB converter are integrated into the decoupling control,and the QPSO algorithm is used to solve the nonlinear equations related to decoupling offline to generate a steady-state operating point table,thus effectively improving the control effect.In addition,in view of the problem that the amount of decoupling table data is too large in actual working conditions,the bilinear interpolation algorithm is used to ensure the system stability under control while greatly reducing the amount of data stored in the table.Finally,the feasibility of the proposed method was verified by simulation and experimental results.
关 键 词:混合储能系统 三端口变换器 量子粒子群优化(QPSO)算法 双线性插值算法 改进解耦控制
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