Probabilistic load flow for radial distribution networks with photovoltaic generators

• DOI: 10.1049/iet-rpg.2010.0180
• Publication Date: 2012-03-19T22:27:47Z
• Authors: F.J. Ruiz-Rodriguez; J.C. Hernández; F. Jurado
• Keywords: Cumulant

In this study, analytical techniques and the Monte Carlo method were both applied to solve a probabilistic load flow in radial distribution networks with photovoltaic-distributed generation, but considering technical constraints that apply (e.g. voltage regulation). The technique used study combined of cumulants Gram-Charlier expansion resolve flow. This was performed by modelling loads photovoltaic (PV) distributed generation as random variables. For purpose, authors developed new model took into account nature solar irradiance load. results obtained demonstrate can be keep voltages within standard limits at all nodes generation. A computational cost reduction has demonstrated better than method. Acceptable solutions reached smaller number iterations. Convergence thus rapidly attained lower needed