Graduate Seminar, 2024/3/6
Speaker:
Professor Loon Ching Tang, PhD
Position:
Department of Industrial Systems Engineering & Management, National University of Singapore
Topic:
Understanding System Resilience: The case of US Power Grid
Abstract:
It is increasingly evident that climate change has induced more freqeunt natural disasters of greater magnitude that pose threats and major disruptions to critical infrastructures and systems. In view of this, it is clear that we need to look beyond traditional reliability and risk to develop resilience as an alternate systems’ performance measure. We first examine the key drivers of systems resilience and identify four dimensions of resilience. We then present a family of recovery functions of which the associated parameters are related to the key characteritics of resilience. From the discruption caused by Hurricane Sandy in US, it is shown that the parameters of the proposed recovery functions can be used to form a set of resilience indices for benchmarking resilience performance of power supply companies in New York State and New Jersey. Using the case of US power grids and their recovery processes under major climate induced disruptions, we then examine the effect of learning by looking at the data from past disruptions via statistical tests.