PhD defence by Hesam Khazraj on Wide Area Monitoring Using Synchrophasor-Based State Estimation
29.05.2018 kl. 13.00 - 16.00
Hesam Khazraj, Department of Energy Technology, will defend the thesis "Wide Area Monitoring Using Synchrophasor-Based State Estimation".
Wide Area Monitoring Using Synchrophasor-Based State Estimation
Associate Professor Filipe Miguel Faria da Silva
Associate Professor Jayakrishnan Radhakrishna Pillai
Associate Professor Deszo Sera, Dept. of Energy Technology, Aalborg University (Chairman)
Professor Peter Palensky, Technical University of Delft, The Netherlands
Professor Alberto Berizzi, Politecnico di Milano, Italy
State estimation is a critical part of wide-area monitoring systems WAMS, which allows operators to accurately monitor and control the power system network. Bad data detection and analysis plays a crucial role in ensuring that the state estimation tool correctly estimates the state of the power system under various operating conditions including those with large measurement errors. This study brings forward research on state estimation in both static and dynamic systems. Several methods in static and dynamic state estimation were developed to enhance the performance of proposed systems, with focus on detection and correction of bad data in static state estimation of the power system. This PhD work presents a post-processing method for real-time power system monitoring for static state estimations (PPSSE) using synchrophasor measurements provided by PMUs for detection and analyses of multiple bad data. The state estimation issue is untangled by using a modified-weighted least squares (M-WLS) technique comprising of SCADA (supervisory control and data acquisition) measurements and the Synchrophasor-based post-processing step. In order to ensure a secure power system operation, a better link between the current stand-alone WAM systems (PMUs & PDCs) and the standard control room SCADA/EMS (and their Human Machine Interfaces (HMIs)) is required for improving power system observability and power system control. Furthermore, changes of responsibilities of the different power system operation and market participants also results in challenges for power system stability monitoring and control. In this area, an algorithm was introduced for the detection and analysis of multiple bad data in critical measurements (CMs). The synchrophasor measurements obtained during the simulations carried out using the real-time digital simulator (RTDS) are afterwards used as the state measurements to the PPSSE method. Results obtained demonstrate the ability of the PPSSE method to detect and reduce the effect of multiple bad data due to loss of PMU/PDC connection, malicious bad data injection and noise.
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ALL ARE WELCOME. THE DEFENCE WILL BE IN ENGLISH.
AFTER THE DEFENCE THERE WILL BE AN INFORMAL RECEPTION AT PONTOPPIDANSTRAEDE 111 IN ThE COFFEE ROOM.
Department of Energy Technology
Pontoppidanstræde 111, auditorium 1.177