Optimization-based Framework for Selecting Under-frequency Load Shedding Parameters
Conference Year
2024
Abstract
High penetration of renewable resources results in a power system with lower inertia and higher sensitivity to power imbalances. Under-Frequency Load Shedding (UFLS) is a last-resort protection scheme used to arrest frequency decline. Current efforts to optimize UFLS settings are mostly network agnostic, ignoring network spatial information. The increasing prevalence of distributed energy resources (DERs) makes the power grid more bidirectional, makes some locations in the network less effective for UFLS action than others. This work proposes a Mixed Integer Linear Program that optimizes the UFLS setpoints (prioritizing one location over another) to minimize frequency deviation and load-shed for a given disturbance. The formulation considers system information and DER generation mix at different network locations.
Primary Faculty Mentor Name
Mads Almassalkhi
Status
Undergraduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Optimization-based Framework for Selecting Under-frequency Load Shedding Parameters
High penetration of renewable resources results in a power system with lower inertia and higher sensitivity to power imbalances. Under-Frequency Load Shedding (UFLS) is a last-resort protection scheme used to arrest frequency decline. Current efforts to optimize UFLS settings are mostly network agnostic, ignoring network spatial information. The increasing prevalence of distributed energy resources (DERs) makes the power grid more bidirectional, makes some locations in the network less effective for UFLS action than others. This work proposes a Mixed Integer Linear Program that optimizes the UFLS setpoints (prioritizing one location over another) to minimize frequency deviation and load-shed for a given disturbance. The formulation considers system information and DER generation mix at different network locations.