Abstract

An intractable but common problem in photovoltaic systems is that the power generated by photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the photovoltaic array reconfiguration methods are developed to mitigate the impact of partial shading and increase output power. This work aims to undertake a comprehensive review on state-of-the-art photovoltaic array reconfiguration methods through a thoroughly investigation of 125 recently published papers. Compared with prior reviews, this work makes a more exhaustive classification, in which sixty-four methods are thoroughly categorized into nine groups. In addition, nine evaluation criteria are summarized for researchers to choose according to their specific requirements. Furthermore, a comprehensive comparison is provided based on ten specific indicators, such as monitor variables, complexity, response speed, rate of shadow dispersion, merits-demerits and application range, etc. Among these methods, the dynamic methods represented by meta-heuristic algorithms show more desirable performance than the static methods due to their faster response speed and prominent adaptability (e.g. the water cycle algorithm has the best performance with a power enhancement of 28%–37%, the TomTom algorithm has inferior performance with power enhancement of only 5%–25%). Finally, this review proposes six constructive suggestions and perspectives to offer technical inspirations for future research in the related fields.