mpp detection of a partially shaded pv array by continuous ga and hybrid pso

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2015
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Abstract
Power versus voltage curve of a uniformly shaded photovoltaic (PV) array has only one maximum power point (MPP). However, when the array is partially shaded, there may be several local MPPs and there exists only one global MPP. The commonly employed perturb and observe (P&O) algorithm works well in detecting the MPP of a PV array when the array is uniformly shaded. However, when the array is partially shaded, the operating point based on P&O method may converge to a local MPP of the array rather than the global one resulting in its under-utilization. In this paper, continuous genetic algorithm (CGA) and hybrid particle swarm optimization (HPSO) algorithm are adopted in detecting the global MPP of a partially shaded PV array. It is observed that the performance of the HPSO is better than either P&O method or the CGA in finding the global maxima of a partially shaded PV array.
Reference Key
shankar2015ainmpp Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;G. Shankar;V. Mukherjee
Journal der pharmacia lettre
Year 2015
DOI
10.1016/j.asej.2014.10.017
URL
http://www.sciencedirect.com/science/article/pii/S2090447914001555
Keywords
civil engineering (general) photovoltaic arrayengineering (general)

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