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作者机构:Natl Inst Technol Dept Elect Engn Rourkela India Veer Surendra Sai Univ Technol Dept Elect Engn Sambalpur 769008 India
出 版 物:《JOURNAL OF ENGINEERING-JOE》
年 卷 期:2016年第2016卷第4期
页 面:54-61页
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学]
主 题:photovoltaic power systems adaptive filters predictive control adaptive control maximum power point trackers FIR filters recursive estimation least squares approximations computational complexity three-term control pole-placement strategy discrete PID-controller RLS-APEF-MPPT algorithm less computational complexities PV voltage fluctuation filtering boost converter MPP estimation adjusting operating point adaptive forgetting factor recursive least-square algorithm one-tap finite impulse response prototype PV system maximum power point tracking algorithm photovoltaic system APEF-based maximum power point tracker adaptive predictive error filter-based MPPT
摘 要:This study presents a new adaptive predictive error filter-based maximum power point tracker (MPPT) for a photovoltaic (PV) system. This MPPT is developed using the concept of an adaptive predictive filter (APEF) that consists of a one-tap finite impulse response. The filter step-size of the APEF is adapted using a recursive least-square (RLS) algorithm with an adaptive forgetting factor. The specialty of this MPPT is that it performs MPP tracking operation in a single step. It performs two functions: namely, MPP estimation adjusting operating point of a boost converter at MPP and then filtering of the PV voltage fluctuation after MPPT action. Thus, the proposed MPPT is compact and efficient with less computational complexities than existing MPPTs such as perturb and observe (P&O) and incremental conductance. The filter part of the proposed RLS-APEF-MPPT is a discrete PID-controller, where PD-part is tuned using pole-placement strategy and integral-term is fixed. The performances of the proposed RLS-APEF-MPPT were verified using experimentation on a prototype PV system. Its performances were compared with that of P&O, adaptive-P&O-MPPTs. From the observed results, it is confirmed that the proposed MPPT exhibits superior performance.