A drift free perturb &amp; observe MPPT in PV system

Waghmare, V. B.; Swapnali, C. Nikate

doi:10.1109/icecct.2017.8118022

Cited by 11 publications

(1 citation statement)

References 14 publications

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“…The P&O algorithm is widely used to extract the maximum power from PV panels. The simple structure and small measured parameters are among the reasons why this algorithm is chosen [19] and [20]. The entire P&O algorithm is given in Fig.…”

Section: Perturb and Observe (Pando)mentioning

confidence: 99%

Energy Management Strategy for an Optimum Control of a Standalone Photovoltaic-Batteries Water Pumping System for Agriculture Applications

Benzaouia

Hajji

Rabhi

et al. 2020

Lecture Notes in Electrical Engineering

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Pumping water using multiple energy sources is the ideal solution for supplying of potable water in isolated or arid areas. In this paper, an effective control and energy management strategy for a stand-alone photovoltaic-batteries water pumping system for agriculture applications is presented. The system is composed of photovoltaic solar panels as primary energy sources, and Lead-Acid batteries as seconder energy sources to supply the brushless DC motor and the centrifugal pump. The energy management strategy uses an intelligent algorithm to satisfy the energy demanded by the motor, also to maintain the state-of-charge of the battery between safe margins in order to eliminate the full discharge and the destruction of the batteries. Drift is a major problem in photovoltaic systems; this phenomenon occurs when the solar irradiation changes rapidly. Classical MPPT algorithms do not solve this problem, for this reason a modified P&O has been implemented, the obtained results shown the efficiency of the algorithm compared to the conventional P&O. Computer simulation results confirm the effectiveness of the proposed energy management algorithm under random meteorological conditions.

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Section: Perturb and Observe (Pando)mentioning

confidence: 99%