access icon free Effective utilisation and efficient maximum power extraction in partially shaded photovoltaic systems using minimum-distance-average-based clustering algorithm

© The Institution of Engineering and Technology
Received 16/09/2014, Accepted 14/09/2015, Revised 04/09/2015, Published 01/03/2016

The reduction in power depends on module interconnection scheme and shading pattern. Different interconnection schemes are used to reduce the losses caused by partial shading. This study presents a minimum-distance-average-based clustering algorithm for the photovoltaic (PV) arrays that can improve the PV power under different shading conditions. The PV array is configured based on a novel clustering algorithm in wireless sensor networks based on sensor node deployment location coordinates. Various cases such as short narrow, short wide, long narrow and long wide have been analysed and their performances were discussed. The proposed method facilitates maximum power extraction by distributing the effect of shading over the entire array thereby reducing the mismatch losses caused by partial shading conditions. The performance of the system is investigated for different shading conditions. Also Monte Carlo estimator was used to improve the impact of the investigation by varying solar irradiance values and the results are presented to show the successful working of the proposed scheme.

Inspec keywords: pattern clustering; power system interconnection; solar cell arrays; wireless sensor networks; power consumption; Monte Carlo methods

Other keywords: efficient maximum power extraction; PV array; module interconnection scheme; sensor node deployment location coordinates; mismatch loss reduction; partial shading loss reduction; partially shaded photovoltaic system; shading pattern; photovoltaic array; solar irradiance value variation; wireless sensor network; Monte Carlo estimator; effective power utilisation; minimum-distance-average-based clustering algorithm; shading effect distribution

Subjects: Monte Carlo methods; Photoelectric conversion; solar cells and arrays; Power system management, operation and economics; Probability theory, stochastic processes, and statistics; Solar cells and arrays

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