Optimal operation management of microgrids using the point estimate method and firefly algorithm while considering uncertainty

摘要: This paper analyzes the behavior of Hong's point estimate method to account for uncertainties in probabilistic energy management systems optimize operation a microgrid (MG). These may arise from different sources, such as market prices, load demands, and electric power generation wind farms photovoltaic systems. Point methods constitute remarkable tool handle stochastic system problems because good results can be achieved using same routines those corresponding deterministic problems, while keeping computational burden low. The problem is formulated nonlinear constraint optimization minimize total operating cost. Weibull, beta, normal distributions are used model uncertain input variables this study. Moreover, firefly algorithm applied achieve optimal operational planning with regard cost minimization. efficiency validated on typical MG. Results case study presented compared against obtained Monte Carlo simulation. Specifically, shows that use 2m + 1 scheme provides best performance when high number random variables, both continuous discrete, considered.