Circuit-based Parameter-State Joint Estimation of Transmission Systems
Conference Year
2024
Abstract
AC State Estimation (ACSE) is crucial for grid stability and market dispatch. However, existing algorithms have flaws, especially sensitivity to fixed system parameters. To address this, we propose a novel joint parameter-state estimation algorithm. It creates an equivalent circuit with unknown parameters, solving a constrained optimization to estimate grid states and parameters accurately. The algorithm quantifies estimation quality by forming tight convex envelopes around non-convex problems, ensuring local observability. Demonstrated on synthetic Texas grid networks, it offers a promising solution to the challenges posed by increasing grid complexity amidst rapid electrification.
Primary Faculty Mentor Name
Amritanshu Pandey
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Circuit-based Parameter-State Joint Estimation of Transmission Systems
AC State Estimation (ACSE) is crucial for grid stability and market dispatch. However, existing algorithms have flaws, especially sensitivity to fixed system parameters. To address this, we propose a novel joint parameter-state estimation algorithm. It creates an equivalent circuit with unknown parameters, solving a constrained optimization to estimate grid states and parameters accurately. The algorithm quantifies estimation quality by forming tight convex envelopes around non-convex problems, ensuring local observability. Demonstrated on synthetic Texas grid networks, it offers a promising solution to the challenges posed by increasing grid complexity amidst rapid electrification.