Security-constrained two-stage stochastic unified active and reactive power management system of the microgrids

Abstract

This paper presents a developed robust two-stage scenario-based stochastic unified active and reactive power economic management system of microgrids (MGs) based on the unit commitment (UC) to minimize the total operating cost. The security constraints, the environmental costs, and the storage battery operating cost are considered in the proposed optimization approach. The mathematical stochastic models of the generation fluctuation of wind turbines (WTs) and photovoltaic panels (PV), and open market prices (OMPs) are developed and incorporated with UC optimization problem of the MG. The proposed stochastic approach is a two-stage optimization, where the first stage is the day-ahead scheduling based on the forecasted data, whereas the second stage mimics the real-time by considering the WT, PV, and OMP variability, where the UC is not changed in the second stage. The proposed optimization algorithm is tested on the low voltage connected MG. The results reveal that the feasible solution can be obtained for all scenarios.