Abstract
Parameter extraction of photovoltaic (PV) models plays a vital role in simulation, evaluation and control of PV systems. It requires to identify the parameters of different PV models quickly and accurately. In this paper, an improved differential evolution by reusing the past individual vectors and adaptive mutation strategy is proposed to extract PV parameters. In the proposed method, the successful difference vectors from previous generations are introduced to produce the offspring in the next generations to improve the performance of differential evolution. In addition, to obtain a nice result, an adaptive mutation strategy is considered to establish a good balance of exploration and exploitation. The proposed method is applied to identify the parameters of different PV models, such as single diode, double diode, and PV models. Comparison results demonstrate that the proposed method obtains the competitive performance on accuracy, reliability and convergence when compared with other state-of-the-art methods.
Highlights
To deal with the environmental pollution caused by the use of fossil fuels, most researches are working to develop a variety of renewable energy sources, such as wave, wind, nuclear and so on [1]
DOUBLE DIODE MODEL The single diode model (SDM) ignores the influence of recombination current loss in the depletion region; diode model (DDM) is developed by considering this loss [38]
SIMULATION RESULTS AND ANALYSIS the performance of differential evolution with adaptive mutation strategy (DVADE) is evaluated on parameters extraction of different PV models, i.e., SDM, DDM, and single diode PV module model (SMM)
Summary
To deal with the environmental pollution caused by the use of fossil fuels, most researches are working to develop a variety of renewable energy sources, such as wave, wind, nuclear and so on [1]. Parameters extraction of PV is a multi-model problem, which requires the algorithm to keep a balance between exploration and exploitation in different search stages. In this paper, reusing the successful difference vectors in differential evolution with adaptive mutation strategy, named DVADE, is proposed to solve PV parameter estimation problems. In DVADE, reuse of the successful difference vectors is introduced to improve the performance of DE This method can explore more promising regions in future generations as well as enhancing the population diversity. The main contributions of this paper are given as follows: A reusing the successful difference vectors differential evolution with adaptive mutation strategy DVADE) is proposed to identify parameters of different PV models.
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