A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response

Ferdinando Fioretto, William Yeoh, Enrico Pontelli, Ye Ma, Satishkumar J. Ranade

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

With the growing complexity of the current power grid, there is an increasing need for intelligent operations coordinating energy supply and demand. A key feature of the smart grid vision is that intelligent mechanisms will coordinate the production, transmission, and consumption of energy in a distributed and reliable way. Economic Dispatch (ED) and Demand Response (DR) are two key problems that need to be solved to achieve this vision. In traditional operations, ED and DR are implemented separately, despite the strong inter-dependencies between these two problems. Therefore, we propose an integrated approach to solve the ED and DR problems that simultaneously maximizes the benefits of customers and minimizes the generation costs, and introduce an effective multi-Agent-based algorithm, based on Distributed Constraint Optimization Problems (DCOPs), acting on direct control of both generators and dispatchable loads. To cope with the high complexity of the problem, our solution employs General Purpose Graphical Processing Units (GPGPUs) to speed up the computational runtime. We empirically evaluate the proposed algorithms on standard IEEE bus systems and test the stability of the proposed solution with a state-of-The-Art power system simulator on the IEEE 30-bus system.

Original languageEnglish (US)
Title of host publication16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
EditorsSanmay Das, Edmund Durfee, Kate Larson, Michael Winikoff
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages999-1007
Number of pages9
ISBN (Electronic)9781510855076
StatePublished - 2017
Event16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 - Sao Paulo, Brazil
Duration: May 8 2017May 12 2017

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
CountryBrazil
CitySao Paulo
Period5/8/175/12/17

Keywords

  • DCOI
  • GPGPU
  • Smart grid

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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  • Cite this

    Fioretto, F., Yeoh, W., Pontelli, E., Ma, Y., & Ranade, S. J. (2017). A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response. In S. Das, E. Durfee, K. Larson, & M. Winikoff (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 (pp. 999-1007). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 2). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).