A Parameter Estimation of Photovoltaic Models Using a Boosting Flower Pollination Algorithm
Shuai Liu,
Yuqi Yang,
Hui Qin
et al.
Abstract:An accurate and reliable estimation of photovoltaic models holds immense significance within the realm of energy systems. In pursuit of this objective, a Boosting Flower Pollination Algorithm (BFPA) was introduced to facilitate the robust identification of photovoltaic model parameters and enhance the conversion efficiency of solar energy into electrical energy. The incorporation of a Gaussian distribution within the BFPA serves the dual purpose of conserving computational resources and ensuring solution stabi… Show more
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