风光互补无人监测船神经网络MPPT优化策略  

Neural Network MPPT Optimization Strategy of Wind Solar Complementary Unmanned Monitoring Ship

作　　者：王永鼎[1] 刘牛 Wang Yongding;Liu Niu(College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China)

机构地区：[1]上海海洋大学工程学院,上海201306

出　　处：《中国海洋大学学报（自然科学版）》2023年第9期141-146,共6页Periodical of Ocean University of China

基　　金：上海市科委创新行动计划项目(13dz1203701);上海市科技兴农项目(沪农科攻字(2014)第6-3号)资助。

摘　　要：为提高风光互补无人监测船长期作业的续航能力和工作稳定性,针对传统风光互补发电的优化最大功率点追踪(MPPT)控制策略需要对风力发电和光伏发电两个子系统分别进行MPPT控制而导致的综合输出功率不高问题,提出径向基函数(RBF)神经网络和单个升压(Boost)电路MPPT优化控制策略。该方案以风力发电和光伏发电两个子系统输出的电流和电压作为RBF神经网络的输入电流和电压,通过神经网络输出统一的占空比,经由单个Boost电路调整风光互补发电系统的输出电压,提高风光互补发电系统的综合输出功率。使用MATLAB仿真进行验证,结果表明此优化策略与传统MPPT控制策略相比综合输出功率更高且更稳定。In order to improve the endurance and working stability of the long-term operation of wind solar complementary unmanned monitoring,aiming at the problem of low comprehensive output power caused by the maximum power point tracking(MPPT)control of the two subsystems of wind power generation and photovoltaic power generation in the traditional wind solar complementary power generation MPPT control strategy,radial basis function(RBF)neural network and MPPT optimization control strategy of single boost circuit are proposed.The scheme takes the current and voltage output by the two subsystems of wind power generation and photovoltaic power generation as the input of RBF neural network,outputs a unified duty cycle through the neural network,and adjusts the output voltage of wind solar complementary power generation system through a single boost circuit to improve the comprehensive output power of wind solar complementary power generation system.MATLAB simulation is used to verify the results of the algorithm.The results show that compared with the traditional MPPT control strategy,the comprehensive output power of this optimization strategy is higher and more stable.

关 键 词：无人监测船 风光互补 优化最大功率点追踪 径向基函数神经网络 综合输出 升压电路 

分 类 号：TM61[电气工程—电力系统及自动化]