基于串级离散极值搜索框架的光伏MPPT控制研究  

Research on Photovoltaic MPPT Control Based on Cascade Discrete Extremum-seeking Framework

作　　者：白玉唯 刘光宇[1] BAI Yuwei;LIU Guangyu(School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学自动化学院,浙江杭州310018

出　　处：《电力科学与工程》2023年第7期1-8,共8页Electric Power Science and Engineering

基　　金：国家自然科学基金(62273124);杭州电子科技大学研究生科研创新基金(CXJJ2022157)。

摘　　要：光伏系统具有非线性、时变特征,且局部遮阴条件下功率输出存在多峰现象。为保持光伏系统始终输出最大功率,同时优化控制过程的瞬态响应,提出了一种串级离散极值搜索框架,其中包括T周期采样器、零阶保持器、收敛判别器、前级区间搜索算法、中级当前最优搜索算法和后级全局最优搜索算法。进一步改进了松鼠搜索算法,并实现了中级当前最优搜索。对光伏发电系统开展了数值仿真实验。与国内外最新文献中提出的方法相比,所提出的方法收敛速度最快,振荡次数最少,这表明所提出的方法极大提升了最大功率点跟踪控制过程的瞬态性能。The photovoltaic system is nonlinear and time-varying,and the power output under local shading conditions has multi-peak phenomenon.In order to maintain the maximum power output of the photovoltaic system at all times and optimize the transient response of control process,a cascade discrete extremum-seeking framework is proposed,including a t-cycle sampler,a zero-order hold,a convergence discriminator,a pre-stage interval search algorithm,an intermediate current optimal search algorithm,and a post stage global optimal search algorithm,and further improved the SSA algorithm to achieve intermediate current optimal search.The numerical simulation experiment of photovoltaic power system is carried out.Compared with the methods proposed in the latest literature at home and abroad,the proposed method has the fastest convergence time and the least oscillations,which shows that the proposed method greatly improves the transient performance of MPPT controller process.

关 键 词：极值搜索 最大功率点跟踪控制 光伏系统 离散控制 优化控制 

分 类 号：TM615[电气工程—电力系统及自动化] TP13[自动化与计算机技术—控制理论与控制工程]