Development of an Improved P&amp;O Algorithm Assisted Through a Colony of Foraging Ants for MPPT in PV System

Sundareswaran, K.; Vigneshkumar, V.; Peddapati, Sankar; P. Simon, Sishaj; Srinivasa Rao Nayak, P.; Palani, S.

doi:10.1109/tii.2015.2502428

Public

Development of an Improved P&O Algorithm Assisted Through a Colony of Foraging Ants for MPPT in PV System

Published in IEEE Transactions on Industrial Informatics • Nov 20, 2015

Authors:

K. Sundareswaran

V. Vigneshkumar

Sankar Peddapati

Abstract

The perturb and observe (P&O) algorithm is a simple and efficient technique, and is one of the most commonly employed maximum power point (MPP) tracking (MPPT) schemes for photovoltaic (PV) power-generation systems. However, under partially shaded conditions (PSCs), P&O method miserably fails to rec...

Subject

Maximum power point tracking

Ant colony optimization algorithms

Convergence (economics)

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