Load Shifting, Interrupting or Both? Customer Portfolio Composition in Demand Side Management

Johannes Gärttner (), Christoph M. Flath () and Christof Weinhardt ()
Additional contact information
Johannes Gärttner: FZI Research Center for Information Technology
Christoph M. Flath: Karlsruhe Institute of Technology (KIT)
Christof Weinhardt: Karlsruhe Institute of Technology (KIT)

A chapter in Computational Management Science, 2016, pp 9-15 from Springer

Abstract: Abstract The share of renewable power sources in the electricity generation mix has seen enormous growth in recent years. Generation from fluctuating renewable energy sources (Wind, Solar) has to be considered stochastic and not (fully) controllable. To align demand with volatile supply, balancing and storage capacities have to be increased. To avoid high costs of storage investments, we suggest exploiting demand side flexibility instead. This can be operationalized through scheduling of electrical loads. Prior research typically assumes that both the set of customers, as well as the flexibility endowments of the scheduling problem, are exogenously given. However, the quality of the scheduling result highly depends on the composition of the customer portfolio. Therefore, it should be designed in an optimal fashion. This includes two decisions: which customers should be part of the portfolio and how much flexibility each customer should offer. Thus, future energy retailers face a complicated decision-making problem.We present a portfolio design optimization model which includes both selecting customers to be part of the portfolio and scheduling their flexibility. Furthermore, we present exemplary results from a scenario based on empirical load and generation data.

Keywords: Smart Grid; Base Load; Demand Side Management; Portfolio Composition; Load Schedule (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-319-20430-7_2

Ordering information: This item can be ordered from
http://www.springer.com/9783319204307

DOI: 10.1007/978-3-319-20430-7_2

Access Statistics for this chapter

More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().