Abstract
Electric water heaters have been the focus of several previous studies where they are viewed as energy storing devices to be considered for peak load shaving within device interruption based load management programs. It is well known that such controls, when applied indiscriminately, can cause payback phenomena which could actually worsen existing peak loads. Thus, optimal switching strategies must be devised. A column generation based optimization scheme which combines the advantages of linear programming and dynamic programming approaches, both previously proposed in load management literature, is presented. The method is successfully tested on a representative set of residential electric water heating load mixes. The results are analyzed in the paper, both from the computational and load management point of view.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
