On October 16, 2024, Dr. Ahmed Alahmed delivered a seminar titled "Co-optimizing Distributed Energy Resources in Linear Complexity." The presentation focused on the co-optimization of distributed energy resources (DER), such as renewable generation, flexible demand, and battery energy storage systems. Dr. Alahmed introduced an energy management system that co-optimizes consumption and battery storage based on locally available stochastic renewables by solving a stochastic dynamic program aimed at maximizing the expected operational surplus.

To overcome the exponential complexity often associated with dynamic program solutions, Dr. Alahmed proposed a novel co-optimization algorithm with closed-form and linear computational complexity. This approach leverages a relaxation-projection method to simplify the constrained stochastic dynamic program. Sufficient conditions for the optimality of the proposed solution were also provided. Numerical studies showcased a significant reduction in computational costs while maintaining a minimal optimality gap, demonstrating the algorithm's efficiency.

 The following are the highlights of the event: