Mathematical Modeling for Short-Term Hydropower Optimization - New Formulations and Predictive Approach

Watch a research seminar exploring the complexities of short-term hydropower scheduling optimization, delivered by Sara Séguin from the Université du Québec à Chicoutimi. Dive into the mathematical modeling challenges of managing hydropower systems with multiple turbines and interconnected power plants. Learn about optimization strategies for both regulated and deregulated market settings, examining how water discharges, reservoir volumes, and turbine operations are determined across various time horizons. Understand the impact of nonlinear and nonconvex hydropower production functions, turbine efficiencies, and the additional complexities introduced by energy price uncertainties in deregulated markets. Explore how data from hydropower producers can be leveraged to predict plant operations and improve system management. The presentation addresses both the theoretical foundations and practical applications of hydropower scheduling optimization, offering insights into this critical aspect of renewable energy management.