University of New Brunswick - Professor, Electrical and Computer Engineering

A movement towards grid modernization poses important challenges for today’s legacy power systems. The energy source mix is migrating towards lower carbon emitting sources, including more renewable energy sources (e.g. wind and solar) at both the feeder and distribution level. Faster monitoring and assessment of energy generation, transmission and distribution will be paramount as the mixture of generation becomes more diverse and stochastic in nature. Power system simulation with real-time sensor monitoring and communications can form a co-simulation platform. A “digital twin” model utilizing this platform will allow for both high-resolution temporal and spatial grid digitization and assessing power system performance at time resolutions much smaller than considered today. With higher data acquisition speeds, data integrity becomes a significant challenge since data can become corrupted in the communication and data acquisition process. Missing data or processing of anomalous data, (i.e. corrupted by noise, out-of-range, or uncalibrated), can lead to performance degradation in terms of asset utilization and protection. The development of new algorithms using co-simulation for reconciling missing and anomalous data is needed to ensure the proper operation of the power system assets.

Dr. Meng is open to co-op and summer internships.

Find out more about Electrical and Computer Engineering at UNB:

ECE UNB