An Adaptive Predictive Control Strategy for RMPPT under Partially Shaded Conditions

Chao Ma, Jing Wu, Ning Li, Shaoyuan Li, Kang Li

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method.
Original languageEnglish
Publication statusPublished - 29 Aug 2014
Event19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Conference

Conference19th World Congress of the International Federation of Automatic Control (IFAC 2014)
CountrySouth Africa
CityCape Town
Period24/08/201429/08/2014

Bibliographical note

Paper TuC12.2

Fingerprint Dive into the research topics of 'An Adaptive Predictive Control Strategy for RMPPT under Partially Shaded Conditions'. Together they form a unique fingerprint.

Cite this