Abstract:
Demand response is seeing increased popularity worldwide and industrial loads are actively taking part in this trend. As a host of energy-intensive industrial processes, ...Show MoreMetadata
Abstract:
Demand response is seeing increased popularity worldwide and industrial loads are actively taking part in this trend. As a host of energy-intensive industrial processes, steel plants have both the motivation and potential to provide demand response. However, the scheduling of steel plants is very complex and the involved computations are intense. In this paper, we focus on these difficulties and propose methods such as adding cuts and implementing an application-specific branch and bound algorithm to make the computations more tractable.
Published in: 2016 Power Systems Computation Conference (PSCC)
Date of Conference: 20-24 June 2016
Date Added to IEEE Xplore: 11 August 2016
ISBN Information: