Incorporating Renewable Generation Uncertainty into Multi-Objective Dispatch Optimization

This paper analyses a power system based on the IEEE-57 bus case, integrating thermal and wind generation to meet hourly demand. Using day-ahead wind forecasts as firm market offers, the optimal Pareto front for thermal dispatch is computed, balancing total cost and emissions. The system operator selects a dispatch point based on the desired cost-emissions trade-off. To reflect real-world uncertainty, the study incorporates statistical deviations in actual wind output derived from historical data. For each deviation scenario, new optimal thermal dispatch curves are generated. This approach enables pre-emptive scheduling across the full range of expected wind deviations and supports real-time adjustment via mechanisms such as redispatch, intraday markets, or secondary/tertiary regulation.