Probabilistic Optimal Active and Reactive Power Dispatch including Load and Wind Uncertainties considering Correlation

The increased integration of renewable energies (REs) raised the uncertainties power systems and has changed approach to dealing with system challenges. Hence, uncertain nature all variables needs be considered while optimal planning operation modern systems. This paper presents a probabilistic active reactive dispatch (POARPD) based on point estimate method (PEM), considering associated load variation wind generation. In POARPD, deterministic (OARPD) is performed in two stages, which gives two-stage OARPD (TSOARPD). objectives TSOARPD are operating cost (OC) minimization stage 1 voltage stability (VS) maximization 2, whereas VS improved by maximizing system’s reserve (RPR). this paper, instead using multiobjective flow, used give more importance when substantially loaded. POARPD problem solved PEM for modified IEEE-9 bus standard IEEE-30 test correlation between loads. results compared Monte Carlo simulation (MCS). While solving voltage-dependent model account real-time dependency discusses detailed procedure nonlinearities giving heavily