This lecture covers the Optimal Power Flow (OPF) problem in power systems, aiming to minimize production costs while satisfying demand and operational constraints. The instructor explains the conductance and susceptance matrices, decision variables, and conservation of active power at each node. Different relaxations such as Semidefinite Relaxation and Second-Order Cone Programming are discussed to solve the highly nonconvex QCQP problem efficiently.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace