Intelligent control and system aggregation techniques for improving rotor-angle stability of large-scale power systems

Power systems control;Power systems stability;Rotor-angle stability;Intelligent control;Approximate dynamic programming;Adaptive critic designs;Power systems stabilizers;Wide-area control;Power system oscillations;Inter-area oscillations

Molina, Diogenes ; Harley, Ronald G Electrical and Computer Engineering Habetler, Thomas Grijalva, Santiago Venayagamoorthy, G. Kumar Michaels, Thomas Mayor, Rhett ; Harley, Ronald G

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Power systems control;    Power systems stability;    Rotor-angle stability;    Intelligent control;    Approximate dynamic programming;    Adaptive critic designs;    Power systems stabilizers;    Wide-area control;    Power system oscillations;    Inter-area oscillations;   

Others  :  https://smartech.gatech.edu/bitstream/1853/50291/1/MOLINA-DISSERTATION-2013.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

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.