Decomposition algorithms for market clearing with large-scale demand response

Nikolaos Gatsis, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

This paper is concerned with large-scale integration of demand response (DR) from small loads such as residential smart appliances into modern electricity systems. These appliances have intertemporal consumption constraints, while the satisfaction of the end-user from operating them is captured through utility functions. Incorporation of the appliance scheduling flexibility and user satisfaction in the system optimization points to maximizing the social welfare. In order to solve the resultant very large optimization problem with manageable complexity, dual decomposition is pursued. The problem decouples into separate subproblems for the market operator and each aggregator. Each aggregator addresses its local optimization aided by the end-users' smart meters. The subproblems are coordinated with carefully designed information exchanges between the market operator and the aggregators so that user privacy is preserved. Numerical tests illustrate the benefits of large-scale DR incorporation.

Original languageEnglish (US)
Article number6558502
Pages (from-to)1976-1987
Number of pages12
JournalIEEE Transactions on Smart Grid
Volume4
Issue number4
DOIs
StatePublished - Dec 1 2013

Keywords

  • Aggregators
  • Decomposition algorithms
  • Demand response
  • Demand-side management
  • Pricing

Fingerprint Dive into the research topics of 'Decomposition algorithms for market clearing with large-scale demand response'. Together they form a unique fingerprint.

Cite this