Grid-connected modular PV-Converter system with shuffled frog leaping algorithm based DMPPT controller

Mingxuan Mao, Li Zhang, Pan Duan, Qichang Duan and Ming Yang

Energy, 2018, vol. 143, issue C, 181-190

Abstract: Maximum power extraction for PV systems with multiple panels under partial shading conditions (PSCs) relies on the configuration of the system and the optimal searching algorithms used. This paper described a PV system with multiple PV panels in series. Each panel has a dc-dc step-down converter, hence allowing independent control of load and source power ratio corresponding to the irradiation levels. An H-bridge terminal inverter is also used for grid connection. An advanced searching algorithm (TSPSOEM) is proposed in the paper for the distributed maximum power point tracking (DMPPT). This applies the basic particle swarm optimization (PSO) procedure but with an extended memory and incorporating the grouping concept from shuffled frog leaping algorithm (SFLA). The new algorithm is applied simultaneously to all PV-converter modules in the chain. The system can exploit the variable converter ratios and reduces the effect of differential shading, both between panels and across panels. The paper presents the system and the proposed new algorithm and demonstrating superior results obtained when compared with other conventional methods.

Keywords: Grid-connected photovoltaic (PV) system; Particle swarm optimization (PSO) procedure; Shuffled frog leaping algorithm (SFLA); Distributed maximum power point tracking (DMPPT); Partial shading conditions (PSCs) (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:143:y:2018:i:c:p:181-190

DOI: 10.1016/j.energy.2017.10.099

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