Title :
A Study of Maximum Power Point Tracking in Novel Small-Scale Photovoltaic LED Lighting Systems
Author :
Wu, Xiaojin ; Cheng, Zhiqiang ; Wei, Xueye
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
While most of the current maximum power point tracking (MPPT) algorithms for large photovoltaic systems are complicated and inefficient, this paper proposes a novel method of MPPT specially used in small-scale photovoltaic LED lighting systems. The proposed algorithm is based on the improved research on the characteristics of the PV array in novel lighting systems. The proposed method in the special system keeps the operating point on two fixed values which have been calculated based on the research of PV array. It is investigated and confirmed by the simulation that the proposed MPPT method in small-scale photovoltaic LED lighting systems is simple and efficient.
Keywords :
light emitting diodes; maximum power point trackers; photovoltaic power systems; MPPT algorithms; PV array; maximum power point tracking; small-scale photovoltaic LED lighting systems; Artificial intelligence; Batteries; LED lamps; Light emitting diodes; Optical arrays; Photovoltaic systems; Power engineering and energy; Power generation; Solar power generation; Temperature; LED lighting system; MPPT; photovoltaic;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.387
