Estimation and Revision: A Framework for Maximum Power Point Tracking on Partially Shaded Photovoltaic Arrays

The power-voltage (P-V) characteristics of a photovoltaic (PV) array become more complex with multiple peaks under the partial shading conditions. This may cause failure for the conventional perturb and observe (P&O) method in tracking the maximum power points. This paper introduces a new two-stage maximum power point tracking (MPPT) framework, known as estimation and revision (ER). It intends to combine the offline random search using metaheuristic algorithms with the conventional online MPPT method. The feasibility of the ER method is verified in an MPPT system implemented with a specific DC-DC converter and a partially shaded PV array. The simulation results suggest that the proposed ER-MPPT framework significantly outperform the conventional P&O in terms of both efficiency and capability in tracking the global maximum power point.

[1]  Yen-Shin Lai,et al.  A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point , 2010, IEEE Transactions on Energy Conversion.

[2]  Ka Lok Man,et al.  Design and Implementation of Smart Battery Management System for Advanced Battery-Powered Devices , 2014 .

[3]  Rubiyah Yusof,et al.  Analytical modeling of partially shaded photovoltaic systems , 2013 .

[4]  Xin-She Yang,et al.  Engineering optimisation by cuckoo search , 2010 .

[5]  Tsutomu Hoshino,et al.  Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions , 1995 .

[6]  Prudence W. H. Wong,et al.  Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days , 2012, 2012 IEEE Asia Pacific Conference on Circuits and Systems.

[7]  Jongrong Lin,et al.  Implementation of a DSP-controlled photovoltaic system with peak power tracking , 1998, IEEE Trans. Ind. Electron..

[8]  Ngai Wong,et al.  Low-cost global MPPT scheme for Photovoltaic systems under partially shaded conditions , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[9]  Prudence W. H. Wong,et al.  Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation , 2013, TheScientificWorldJournal.

[10]  Yang Song-ming,et al.  Markov Model and Convergence Analysis Based on Cuckoo Search Algorithm , 2012 .

[11]  Masafumi Miyatake,et al.  Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Xin-She Yang,et al.  Cuckoo Search and Firefly Algorithm: Overview and Analysis , 2014 .

[13]  Prudence W. H. Wong,et al.  Parameter Estimation of Photovoltaic Models via Cuckoo Search , 2013, J. Appl. Math..