At the present time, power Systems are being operated closer and closer to their stability limit. This .condition is due to current économic, political and ecological constraints, under which power System operators are Iimited to serving the actual power demand by pushing the operating point closer to the generation and tie-line stability limits. However, due to the weakness of these tie-lines, oscillations are often, created between the different generating stations in the power system. These so called inter-area oscillations are visible on the rotors of the generators, as well as in the fie-line power, and may create severe stability problems To damp the inter-area oscillations and avoid the stability problems, a Remote Feedback Controller (RFC) is used. The RFC uses input signals from the generator where it Ls installed and alsoltom a remote generator. Thèse inpuî signais, both local and remote, are sytichronized via the Global Positioning System (GPS) satellites. The RFC is tuned via the use of residues, as well as recent convex programming techniques that include the application of linear matrix inequality (LMÏ) constraints. The work presented in this dissertation deals with the problem of damping the inter-area oscillations present in two test Systems (4- and 29-machines) via the optimal siting of a RFCs containing local and remote input signal synchronized by GPS satellites. The iRFCs are then tuned through the use of a method based on residues and LME constrained convex programming algorithm. These techniques yield RFCs that are robust for a wide range of operating conditions (up to the limit of the power System) and that have a higher degree of performance (damping) than typically installed controllers. Tbe RFCs are also capable
