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Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV) offers many advantages like modularity, minimal maintenance, pollution free, and zero noise. Yet, its cell modeling is critical in design, simulation analysis, evaluation, and control of solar PV system; most importantly to tap its maximum potential. However, precise PV cell modeling is complicated by PV nonlinearity, presence of large unknown model parameter, and absence of a unique method. Since number of model parameters involved is directly related to model accuracy, and efficiency; determination of its values assume high priority. Besides, application of meta-heuristic algorithms via numerical extraction is popular as it suits for any PV cell/module types and operating conditions. However, existence of many algorithms have drawn attention toward assessment of each method based on its merits, demerits, suitability/ability to parameter estimation problem, and complexity involved. Hence, few authors reviewed the subject of PV model parameter estimation.But existing reviews focused on comparative analysis of analytical and metaheuristic approaches, analysis of models, and application of meta-heuristic methods for model parameter extraction. Thus, lack a comprehensive analysis on methods based on different objective function, assessment on

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Array reconfiguration techniques applied for partially shaded photovoltaic array yield maximum power output via row current minimization and shade dispersion. Both static and dynamic reconfiguration techniques are utilized for power maximization. Noticeable advantages like one time rearrangement, effective shade dispersion, and easy steps made physical or static more popular. With profound necessity to simplify the mathematical procedure and reduced complexity, in this work, a highly competent Column shift Right-Left panel arrangement based array reconfiguration technique is proposed. It follows simple relocation steps to disperse even complex shade occurrences. To justify the versatility of the method, three different shade cases together with economy analysis and qualitative comparative study with five different existing methods including Total Cross Tied, Su Do Ku, Column method, Dominance Square, Improved Su Do Ku and Sky Scrapper methods are analysed. As a result of its implementation, power generation has aroused to a maximum of 13.47%, 4.35%, 14.01%, 9.97%, 3.45%, and 2.43%, for Top Left Corner shade case compared to conventional techniques. Further, economy analysis indicates that a maximum revenue is generated with proposed work. To strengthen the performance analysis, an experimental study on 3 Â 3 PV array based on six performance metrics is carried out. For all the test cases conducted, an effective shade dispersion with the proposed method is achieved with the highest power output.