Linear model of aggregated homogeneous energy storage elements with realizable dispatch guarantees
Abstract
To optimize the dispatch of batteries, a model is required that can predict the state of charge (SOC) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that schedule can be realized). However, battery dispatch optimization is inherently challenging since batteries cannot simultaneously charge and discharge, which begets a non-convex complementarity constraint. In this paper, we develop a novel composition of energy storage elements that can charge or discharge independently and provide a sufficient linear energy storage model of the composite battery. This permits convex optimization of the composite battery SOC trajectory while guaranteeing admissibility of the resulting (aggregated) power schedule and its disaggregation to the individual energy storage elements.
Primary Faculty Mentor Name
Samuel Chevalier
Status
Undergraduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Linear model of aggregated homogeneous energy storage elements with realizable dispatch guarantees
To optimize the dispatch of batteries, a model is required that can predict the state of charge (SOC) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that schedule can be realized). However, battery dispatch optimization is inherently challenging since batteries cannot simultaneously charge and discharge, which begets a non-convex complementarity constraint. In this paper, we develop a novel composition of energy storage elements that can charge or discharge independently and provide a sufficient linear energy storage model of the composite battery. This permits convex optimization of the composite battery SOC trajectory while guaranteeing admissibility of the resulting (aggregated) power schedule and its disaggregation to the individual energy storage elements.
