Toward feedback-based coordination and optimization in a distributed slack bus framework
Abstract
Optimization and coordination problems in power systems are typically solved offline with optimal power flow solvers in five-to-fifteen minute intervals. While this is sufficient for many problems, a feedback-based approach could provide a more computationally efficient method for solving the same problems while also allowing the system to adapt to uncertainties in real time. In this work, an affine expression for the active power output of generators under a distributed slack bus is expanded into a feedback-based method for optimally coordinating grid resources in real time while preventing the violation of various system constraints.
Primary Faculty Mentor Name
Jackson Anderson
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Toward feedback-based coordination and optimization in a distributed slack bus framework
Optimization and coordination problems in power systems are typically solved offline with optimal power flow solvers in five-to-fifteen minute intervals. While this is sufficient for many problems, a feedback-based approach could provide a more computationally efficient method for solving the same problems while also allowing the system to adapt to uncertainties in real time. In this work, an affine expression for the active power output of generators under a distributed slack bus is expanded into a feedback-based method for optimally coordinating grid resources in real time while preventing the violation of various system constraints.
