In this paper a distributed-computing technique to extract photovoltaic module parameters is presented. The proposed procedure is based on a particle swarm optimization (PSO) strategy that exploits interlacing of the experimental data in order to decrease the computational load, and parallel computing of different and independent runs to collect a large amount of data in order to save computational time. The results show that the choice of the search range width and the rules to accept/refuse possible solutions strongly influences the parameter extraction and involves exploiting further statistical analysis to control the statistical instability typical of numerical data fitting algorithms.
Titolo: | Parameter extraction of photovoltaic modules with a distributed computing approach |
Autore/i: | M. Artioli; REGGIANI, UGO; SANDROLINI, LEONARDO |
Autore/i Unibo: | |
Anno: | 2005 |
Titolo del libro: | Proceedings of the 20th European Photovoltaic Solar Energy Conference and Exhibition |
Pagina iniziale: | 274 |
Pagina finale: | 277 |
Abstract: | In this paper a distributed-computing technique to extract photovoltaic module parameters is presented. The proposed procedure is based on a particle swarm optimization (PSO) strategy that exploits interlacing of the experimental data in order to decrease the computational load, and parallel computing of different and independent runs to collect a large amount of data in order to save computational time. The results show that the choice of the search range width and the rules to accept/refuse possible solutions strongly influences the parameter extraction and involves exploiting further statistical analysis to control the statistical instability typical of numerical data fitting algorithms. |
Data prodotto definitivo in UGOV: | 22-feb-2006 |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |