Peak-suppressed net-load uncertainty modeling and coordinated EV-ESS flexibility for risk-aware dispatch in renewable-rich power systems

Puntos clave

• The aim is to enhance risk-aware dispatch in renewable-rich power systems by improving net-load uncertainty modeling and integrating EV-ESS flexibility.
• Developed a peak-suppressed CC-DP-GMM for multimodal net-load uncertainty modeling.
• Implemented an AWCVaR-based two-stage dispatch model linking day-ahead and real-time control.
• Modeled EV-ESS ramping flexibility to manage corrective recourse under extreme conditions.
• Achieved an 11.9% reduction in risk-adjusted operating cost in various case studies.