Advancing Dynamic State Estimation for the Next-Generation EMS: Structure, Algorithms and Experiences (slides)

Due to the increasing penetration of variable generation, demand response, new power market structures and unexpected events, the behavior of modern power systems is becoming more stochastic and dynamic. It is critically important to understand the current dynamic states and predict their near-future trajectories to enhance system resilience and reliability so that power system operators can take both preventive and corrective actions to mitigate the impact. The existing Energy Management System (EMS) relies heavily on static state estimation (SSE) to gain situational awareness of the power system, which may not be adequate for a more dynamic and complicated power system. This panel will bring practitioners, vendors, and researchers together to discuss the advancements of dynamic state estimation for the next-generation EMS, including its structure, algorithms, and prior experiences.