Research Projects

Power System Area Frequency and Inertia for Multi-Area Dynamic Network Reduction

Level of difficulty:

MS Thesis – Student must register for ECE299.

Thesis Supervisor contact info:

Hassan Ghoudjehbaklou, Ph.D., PE, SMIEEE

Principal Engineer, Transmission Planning

San Diego Gas and Electric (SDG&E)

Instructor at UC San Diego (UCSD), UCSD Extension

IEEE: Senior Member, Chair of PES & PELS Chapters, San Diego Section

Email: hbaklou@ucsd.edu

Background:

Power system frequencies during disturbances and post disturbances are good indicators of stability of the system. On the other hand, the inertia of generating units dictate the oscillation of the rotors, which in turn impact the frequency of the voltages and currents in the system. When reducing a large network, the definition of Area Frequency and estimation of Area Inertia could play important roles.

MS Thesis research proposal:

The main objective of this research is to come up with methodologies for calculating Area Frequency and Inertia that can be applied on actual power system netwrok Phasor Measurements Units (PMU) data. We will then utilize this information to reduce a multi-area transmission network for dynamic stability studies.

Skills required:

At a minimum, some Power system dynamic modeling knowledge, at the level of Swing Equations are required. In addition, proficiency in Matlab programming and strong background in control system & estimation theory would be a plus. (Student and professors involved in the project may have to sign a Non-Disclosure Agreement, NDA, to not disclose the data in any form without prior written approval from the thesis supervisor.)  

Multi-terminal lines impedance estimation

Level of difficulty:

MS Thesis – Student must register for ECE299.

Thesis Supervisor contact info:

Hassan Ghoudjehbaklou, Ph.D., PE, SMIEEE

Principal Engineer, Transmission Planning

San Diego Gas and Electric (SDG&E)

Instructor at UC San Diego (UCSD), UCSD Extension

IEEE: Senior Member, Chair of PES & PELS Chapters, San Diego Section

Email: hbaklou@ucsd.edu

Background:

Line impedances are important parameters that are used in Planning, Protection Relaying, and operation control, among other areas, and their accuracies could impact day-to-day operating decisions. However, it is well understood that line impedances change under different transmission line loading and operating conditions, including climate changes.

On the other hand, in recent years, a large number of Phasor Measure Units (PMUs) have been deployed in power system utilities around the world. PMUs could provide power system measurements at high sampling rates. Due to limitation of equipment costs and required communication, at present, PMU measurements are mainly available in dense concentration at high voltage transmission systems, while deployment at distribution levels are very scattered.

With high sample rate voltage and current measurements coming from PMUs, the idea is that, one could potentially estimate the changing line impedances in real-time and utilize more accurate impedances in the operational studies and decisions.

MS Thesis research proposal:

The theory of impedance estimation for two terminal lines are straight forward and many researchers have worked on some variations of it. However, in each utility, several 230 kV lines might have 3-terminal configuration and some utilities might even utilize higher number of terminals for several of their 138 kV or 69 kV lines. The idea of this research project is to estimate line impedance of multi-terminal lines in real-time, using PMU measurements. The initial focus of this project would be 230 kV 3 -terminal lines.

Skills required:

Some power system knowledge, at the level of ECE121A, proficiency in Matlab programming, and strong background in control system & estimation theory, such as time series ARMA and Kalman filters, are required. (Student and professors involved in the project may have to sign a Non-Disclosure Agreement, NDA, to not disclose the data in any form without prior written approval from the thesis supervisor.)