Binjiang Hu1,*, Yihua Zhu2, Liang Tu1,2, Zun Ma3, Xian Meng3, Kewei Xu3
Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069777
- 27 December 2025
Abstract This paper proposes an equivalent modeling method for photovoltaic (PV) power stations via a particle swarm optimization (PSO) K-means clustering (KMC) algorithm with passive filter parameter clustering to address the complexities, simulation time cost and convergence problems of detailed PV power station models. First, the amplitude–frequency curves of different filter parameters are analyzed. Based on the results, a grouping parameter set for characterizing the external filter characteristics is established. These parameters are further defined as clustering parameters. A single PV inverter model is then established as a prerequisite foundation. The proposed equivalent method combines the… More >
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