At Power Engineering Laboratory (PEng Lab), we seek to advance the situational awareness and operational flexibility in both today’s and future energy systems. Our mission is to pursue speculative ideas inspired by the dynamical behaviors observed in the unbounded nature of power system operations. Our research contributes to real-time identification of critical network information through manipulating the time-series data collected from advanced sensors such as Phasor Measurement Unit (PMU) and smart meter. Corrective actions, based on control theory and behavioral science, can then be developed and applied to maintain network resilience.
Group gathering, 30 August 2019
[22.02.2019] Week's Top Letter #1 in the Straits Times Newspaper
Microgrids are the future building blocks of electrical power grids. Due to the close geographical proximity between microgrids, the electromagnetic dynamics in power lines can destabilize their interconnections. We are deriving novel control theories that ensure reliable power sharing among networked microgrids and connected devices for any topological configurations.
Disinformation can be weaponized to manipulate political elections, public opinions, and individual behavior in the long-term. In the short-term, disinformation can be exploited to bringdown critical infrastructures through consumer-driven services. We are investigating the potential of causing regional and wide-area power outages through manipulated decisions from energy consumers in a deregulated market environment.
In a microgrid, the slower dynamics of a synchronous generator are more problematic than those of renewable generations managed by power electronic converters. Here, we demonstrated a synchronous generator was able to damp such power oscillations (green curve) in a prototyped microgrid.
A Bayesian-based approximated filter (BAF) has been designed for restoring transient dynamics embedded in PMU measurements. The proposed scheme utilizes distributed monitoring and data fusion techniques to isolate compromised measurements. As a result, the resilience of monitoring applications against various types of cyber-attacks is improved. This method was validated using recorded PMU data from New Zealand.
Small-signal instability of inverter-based microgrids under droop control occurs due to two separate phenomena: P-V/Q-f cross coupling and line dynamics. We therefore propose a general formula-based lead compensator to compensate the distribution system lag. This significantly expands the stability region.
We developed a low-cost PMU that is suitable for power distribution systems. It provides nominal and off-nominal phasor information that are not available in conventional smart meters. This was achieved using a novel interpolation method, and the prototype complied with IEEE C37.118 standard. This technology will help power utilities to better monitor their distribution systems, and facilitate consumer-centric services.