两相交错并联DC-DC变换器系统效率优化  被引量:4

Efficiency optimization for two-phase interleaved parallel DC-DC converter system

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作  者:尹泉[1] 缪佶桂 刘洋[1] 张鹏[1] YIN Quan;MIAO Jigui;LIU Yang;ZHANG Peng(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区:[1]华中科技大学人工智能与自动化学院,湖北武汉430074

出  处:《华中科技大学学报(自然科学版)》2022年第11期122-127,共6页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基  金:国家自然科学基金资助项目(U1913602)。

摘  要:针对均流控制方案无法保证两相交错并联直流-直流(DC-DC)变换器系统效率处于最优,从而造成能源浪费的问题,提出一种基于电流分配的效率优化控制策略.采用支持向量回归(SVR)算法训练单相变换器效率预测模型,预测任意工况下各相变换器效率特性曲线,进而采用Q学习(Q-learning)算法寻找使系统总效率最优的最佳电流分配方案.该方法克服了传统方法当工况发生变化时须要重新采集数据以拟合效率特性曲线,以及复杂工况下数学求解最佳分配方案计算繁琐的缺点.模型适用性高,所需参数少,可以适应系统运行工况的动态变化,在无须重置模型的情况下给出最优电流分配方案.仿真实验表明:与均流控制相比,所提出的效率优化控制方法能明显提升系统整体效率,最高可达4.5%.Aiming at the problem that the current-sharing control scheme could not ensure the efficiency of the two-phase interleaved parallel direct current-direct current(DC-DC) converter system to be optimal,resulting in energy waste,an efficiency optimization control strategy based on current distribution was proposed.The support vector regression(SVR) algorithm was used to train the single-phase converter efficiency prediction model to predict the efficiency characteristic curve of each phase converter under arbitrary operating conditions,and then the Q-learning algorithm was adopted to find the best current distribution scheme that could make the system total efficiency optimal. This method overcomes the shortcomings of traditional methods that need to recollect data to fit the efficiency characteristic curve when the operating condition is changed,and avoids tedious calculation of mathematically solving the optimal allocation scheme under complex operating conditions. The model has high applicability and requires less parameters,which can adapt to the dynamic changes of system operating conditions,and give the optimal current distribution scheme without resetting the model. Simulation experiments show that,compared to the current-sharing control,the proposed efficiency optimization control method can significantly improve the system overall efficiency,up to 4.5%.

关 键 词:两相交错并联DC-DC变换器 效率优化 电流分配 支持向量回归 Q学习 

分 类 号:TM46[电气工程—电器]

 

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