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Revista EIA

Print version ISSN 1794-1237

Abstract

SAAAAVEDRA MONTES, Andrés Julián; RAMOS PAJAAJA, Carlos Andrés  and  TREJOS GRISALES, Luz Adriana. ADAPTIVE MAXIMUM POWER POINT TRACKING ALGORITHM FOR MULTI-VARIABLE APPLICATIONS IN PHOTOVOLTAIC ARRAYS. Rev.EIA.Esc.Ing.Antioq [online]. 2013, n.20, pp.193-206. ISSN 1794-1237.

Classical algorithms for multi-variable photovoltaic systems use fixed-size perturbations, which does not optimize the produced power in both steady-state and transient conditions. Therefore, an adaptive maximum power point tracking algorithm for photovoltaic systems is proposed in this paper to improve the power generation in both transient and steady-state conditions. The proposed algorithm only uses a single pair of current/voltage sensors to reach the global maximum available power, which contrast with the high number of sensors required by others distributed maximum power point tracking solutions. The algorithm recognizes the voltage pattern exhibited by PV system in both steady-state and transient conditions to adapt the size perturbations accordingly: in steady-state conditions reduces the perturbation size to minimize the power loses, while in transient conditions increases the perturbation size to speed-up the tracking of the new operating point. Finally, the adaptive multi-variable perturb and observe algorithm is validated by means of simulation using detailed models.

Keywords : Photovoltaic Generation; Adaptive Algorithm; Maximum Power Point; Efficiency.

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