Smart Demand Control for the Enhancement of Grid Resilience

Canada and Germany have ambitious plans to achieve net-zero emissions by 2050 and 2045, requiring significant changes in the power system, such as substituting centralized fossil fuel power plants with distributed renewable energy resources and electrification of transportation, construction, and heavy industry. These changes have reduced system inertia, vital for grid operation. On the path towards net-zero emissions, modernizing the electric grid faces challenges to ensure reliable and economical operation. Load Sensitivity-based Demand Management (LSDM) schemes provide promising and cost-efficient solutions by extracting power flexibility from loads using existing devices. This collaborative project focuses on applying LSDM to enhance grid resilience, which implies the system’s ability to anticipate and withstand external shocks and quickly recover to the pre-shock state. To our best knowledge, no similar research has been conducted. Through this collaboration, a PhD student from the Karlsruhe Institute of Technology (KIT) will expand her current research on LSDM to enhance grid resilience in cooperation with Prof. Wang from McGill University. Prof. Wang is an expert in power system analysis, including grid resilience assessment. Meanwhile, valuable measurement data from KIT’s EnergyLab 2.0 and new methods and ideas will be brought to McGill University, contributing to Canada’s path to net-zero emissions.

Faculty Supervisor:

Xiaozhe Wang

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program: