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

  • Johannes Gärttner
  • Christoph M. Flath
  • Christof Weinhardt
Conference paper

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

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 682)
Cite this paper as:
Gärttner J., Flath C.M., Weinhardt C. (2016) Load Shifting, Interrupting or Both? Customer Portfolio Composition in Demand Side Management. In: Fonseca R., Weber GW., Telhada J. (eds) Computational Management Science. Lecture Notes in Economics and Mathematical Systems, vol 682. Springer, Cham

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.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Johannes Gärttner
    • 1
  • Christoph M. Flath
    • 2
  • Christof Weinhardt
    • 2
  1. 1.Information Process Engineering (IPE)FZI Research Center for Information TechnologyKarlsruheGermany
  2. 2.Institute of Information Systems and Marketing (IISM)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

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