NDLI: Novel maximum power point tracking strategy for photovoltaic system under partially shaded condition based Monte Carlo algorithm

Content Provider	IEEE Xplore Digital Library
Author	Lei Tang Wei Xu Jian Xun Jin
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China (Lei Tang) \|\| Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Jian Xun Jin) \|\| Sch. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & chnology, Wuhan, China (Wei Xu)
Abstract	In this paper, a novel algorithm based on probability statistics and Monte Carlo method (MCM) is presented, which can be used to track the global power peak online, especially for partially shaded conditions. For this method, a probabilistic model with uniformly distributed random points should be constructed firstly for solar generation system, and MCM is used to predict the maximum power point (MPP). Next, single-peak method is used to obtain higher accuracy. By the new maximum power tracking (MPPT) approach, it is possible to track MPP without getting information of insolation. Besides, the convergence speed is independent of multiple peaks of photovoltaic (PV) traits. At last, a micro controller unit is needed. Plenty of simulations and experiments illustrate that the new strategy is reliable under complex irradiance conditions.
Sponsorship	IEEE Beijing Sect.
Starting Page	285
Ending Page	286
File Size	224478
Page Count	2
File Format	PDF
e-ISBN	9781479900701
DOI	10.1109/ASEMD.2013.6780776
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum power point trackers Photovoltaic systems Monte Carlo method (MCM) Monte Carlo methods Accuracy Maximum power point tracking (MPPT) Pulse width modulation Educational institutions Silicon Photovoltaic (PV)
Content Type	Text
Resource Type	Article

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