Risk-Based Stochastic Scheduling of Resilient Microgrids Considering Demand Response Programs

In this article, a risk-constrained stochastic framework is presented for joint energy and reserve scheduling of resilient microgrid considering demand side management. The optimization problem formulated to schedule the system operation in both normal islanding modes by addressing prevailing uncertainties duration as well prediction errors loads, renewable power generation, electricity price. mode, where grid-connection available, local resources trading with main grid scheduled maximize operator's profit feasible islanding. operating which triggered disturbance grid, should be supply loads lowest emergency load shedding. To balance economy security requirements under uncertainties, optimal done properly through security-constrained flow method system's objectives constraints. Moreover, handle problem, conditional value-at-risk metric incorporated model control risk variability. proposed scheme implemented on test various case studies are verify its effectiveness resiliency conditions.