Title :
Distributed scheduling of demand resources in a congested network
Author :
Jhi-Young Joo ; Ilic, Marija
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
This paper proposes a distributed method to schedule supply and flexible demand in a congested network, accommodating diverse benefits of end-users. We look at two different time horizons to schedule supply and demand; a day ahead and an hour ahead, which we refer to as day-ahead and real-time clearing. For day-ahead clearing, we decompose the system-level problem and solve it in an iterative way to schedule supply and flexible demand over multiple time steps. However, after the day-ahead quantities are cleared and the actual consumption/production is to occur sooner, we use moving-horizon functional clearing. We show an application of this framework to the IEEE 30-bus test system with a large number of various air conditioning loads. The experiment shows effectiveness of the methods in managing congestion and in coping with unexpected conditions such as a rise in the weather temperature.
Keywords :
demand side management; distribution networks; iterative methods; power generation scheduling; IEEE 30-bus test system; air conditioning loads; congested network; day-ahead clearing; distributed demand resource scheduling; moving-horizon functional clearing; real-time clearing; supply-and-demand scheduling; system-level problem; weather temperature; Generators; Meteorology; Power system dynamics; Real-time systems; Schedules; Sensitivity; Supply and demand;
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
DOI :
10.1109/PESGM.2014.6939540