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A New Modified Incremental Conductance Algorithm Used for PV System

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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities (IC-AIRES 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 361))

Abstract

A photovoltaic (PV) module has a nonlinear output characteristic that varies with sun irradiation and cell temperature. Thus the MPP is therefore not constant. In this paper, we present a new modified MPPT based on incremental conductance (INC) to extract the maximum power from the PV system under varying climatic conditions. The objective of the proposed algorithm is the reduce the power loss due to the big oscillations around the MPP. The principle of this algorithm is to correct the duty cycle of conventional INC by adding a correction term. The suggested algorithm’s efficiency has been successfully tested utilizing a PV system supplied by a DC-DC buck-boost converter controlled by the proposed MPPT and implemented in the Matlab/Simulink environment. The suggested method’s efficiency is demonstrated and compared to the conventional INC algorithm.

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Rai, N., Abbadi, A., Hamidia, F., Kanouni, B., Kahlessenane, A. (2022). A New Modified Incremental Conductance Algorithm Used for PV System. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. IC-AIRES 2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-92038-8_26

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