"The optimization of load flow for assigned constrains (i.e. . assigned active and reactive power for load buses, . adequate levels of voltage and so on) in terms of . minimization of the joule losses is one of the fundamental . tasks that the Virtual Power Plant (VPP) architecture has . to solve in a Smart Grid (SG) system. In the present paper . a recent modern heuristic called MeTEO (Metric - . Topological - Evolutionary Optimization) is applied to . this task for an assigned power to be delivered to loads. . This heuristic is suitable to solve this complicated . problem, thanks to its good exploration and convergence . capabilities. In addition, its performances can be further . improved also by using a parallel programming. The . presented MeTEO approach has been validated by . minimizing joule losses of a small 14 Bus Power System . and a larger 118 Bus Power System, both related to the . IEEE Common Data Format, and by comparing the . obtained results with those returned by the MATPOWER . simulator. "
RIGANTI FULGINEI, F., Laudani, A., Biagetti, R., Altomonte, D., Salvini, A. (2012). Minimization of joule losses in Smart Grid systems by the Metric - Topological - Evolutionary Optimization. In Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International (pp.337-342). IEEE Conference Pubblications [10.1109/EnergyCon.2012.6347778].
Minimization of joule losses in Smart Grid systems by the Metric - Topological - Evolutionary Optimization
RIGANTI FULGINEI, Francesco;LAUDANI, ANTONINO;SALVINI, Alessandro
2012-01-01
Abstract
"The optimization of load flow for assigned constrains (i.e. . assigned active and reactive power for load buses, . adequate levels of voltage and so on) in terms of . minimization of the joule losses is one of the fundamental . tasks that the Virtual Power Plant (VPP) architecture has . to solve in a Smart Grid (SG) system. In the present paper . a recent modern heuristic called MeTEO (Metric - . Topological - Evolutionary Optimization) is applied to . this task for an assigned power to be delivered to loads. . This heuristic is suitable to solve this complicated . problem, thanks to its good exploration and convergence . capabilities. In addition, its performances can be further . improved also by using a parallel programming. The . presented MeTEO approach has been validated by . minimizing joule losses of a small 14 Bus Power System . and a larger 118 Bus Power System, both related to the . IEEE Common Data Format, and by comparing the . obtained results with those returned by the MATPOWER . simulator. "I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
