Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 5, Issue 3, Pages 718-728Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2014.2300162
Keywords
Adaptive control algorithm (ACA); adaptive P&O MPPT algorithm; current perturbation algorithm (CPA); fractional short circuit current (FSCC) method; maximum power point tracking (MPPT); perturb and observe (P&O) method; variable perturbation algorithm (VPA)
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Funding
- Department of Science and Technology (DST), India [DST/TM/SERI/2k10/47]
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In this paper, a variable perturbation size adaptive perturb and observe (P&O) maximum power point tracking (MPPT) algorithm is proposed to track the maximum power under sudden changes in irradiance. The proposed method consists of three algorithms, namely current perturbation algorithm (CPA), adaptive control algorithm (ACA), and variable perturbation algorithm (VPA). CPA always tries to operate the photovoltaic (PV) panel at maximum power point (MPP). ACA sets the operating point closer to MPP, only if the operating limits are violated. These operating limits are expressed in terms of the operating current range of the PV panel and the sudden changes in irradiance. VPA dynamically reduces the perturbation size based on polarity of change in power. Two-stage variable size perturbation is proposed in this paper. The proposed algorithm is realized using a boost converter. The effectiveness of proposed algorithm in terms of dynamic performance and improved stability is validated by detailed simulation and experimental studies.
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