Intelligent control and system aggregation techniques for improving rotor-angle stability of large-scale power systems
MetadataShow full item record
A variety of factors such as increasing electrical energy demand, slow expansion of transmission infrastructures, and electric energy market deregulation, are forcing utilities and system operators to operate power systems closer to their design limits. Operating under stressed regimes can have a detrimental effect on the rotor-angle stability of the system. This stability reduction is often reflected by the emergence or worsening of poorly damped low-frequency electromechanical oscillations. Without appropriate measures these can lead to costly blackouts. To guarantee system security, operators are sometimes forced to limit power transfers that are economically beneficial but that can result in poorly damped oscillations. Controllers that damp these oscillations can improve system reliability by preventing blackouts and provide long term economic gains by enabling more extensive utilization of the transmission infrastructure. Previous research in the use of artificial neural network-based intelligent controllers for power system damping control has shown promise when tested in small power system models. However, these controllers do not scale-up well enough to be deployed in realistically-sized power systems. The work in this dissertation focuses on improving the scalability of intelligent power system stabilizing controls so that they can significantly improve the rotor-angle stability of large-scale power systems. A framework for designing effective and robust intelligent controllers capable of scaling-up to large scale power systems is proposed. Extensive simulation results on a large-scale power system simulation model demonstrate the rotor-angle stability improvements attained by controllers designed using this framework.
Showing items related by title, author, creator and subject.
Global optimization methods for optimal power flow and transmission switching problems in electric power systems Kocuk, Burak (Georgia Institute of Technology, 2016-07-19)Power engineering is concerned with the generation, transmission, and distribution of electricity over electric power network, which is arguably one of the largest engineering systems in the world. The size of electric ...
Design of power delivery networks using power transmission lines for high speed I/O signaling in complex electronic systems Zhang, David Chong (Georgia Institute of Technology, 2016-10-12)A power distribution network (PDN) is designed to provide clean power and facilitate high signal integrity in modern electronic systems. However, the design of a good PDN has faced challenges due to increased number of ...
Nonlinear System Identification and Analysis with Applications to Power Amplifier Modeling and Power Amplifier Predistortion Raich, Raviv (Georgia Institute of Technology, 2004-04-07)Power amplifiers (PAs) are important components of communication systems and are inherently nonlinear. When a non-constant modulus signal goes through a nonlinear PA, spectral regrowth (broadening) appears in the PA ...