With recent developments in power system, such as the large scale penetration of renewable energy sources, it becomes increasingly challenging for transmission system operators (TSOs) to maintain adequate balancing performance. Having accurate and up-to-date control area models obtained from online measurements can be an important tool for TSOs to implement new, distributed control strategies that meet these challenges, or simply to monitor the lumped values of critical parameters. To this end, recently proposed methods for identification in complex dynamical networks are utilized to obtain a dynamical model of a control area that is part of an interconnected power system. The identification procedure uses measurements under normal operating conditions, readily available to the TSO. Firstly, properties of these measured signals are analyzed. Secondly, conditions on the excitation signals are given, under which the control area can be accurately identified. The results are demonstrated using a four area power system simulation setup.
|Date of Award||30 Apr 2014|
|Supervisor||Paul M.J. Van den Hof (Supervisor 1) & A. Virag (Supervisor 2)|