Agent-based Integration of Complex and Heterogeneous Distributed Energy Resources in Virtual Power Plants

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Abstract

A Virtual Power Plant aggregates several Distributed Energy Resources in order to expose them as a single, controllable entity. This enables smaller Distributed Energy Resources to take part in Demand Response programs which traditionally only targeted larger consumers. To date, models for Virtual Power Plants have considered Distributed Energy Resources as simple, atomic entities. However, often Distributed Energy Resources constitute complex and heterogeneous entities with a mix of multiple, controllable loads, generators and electrical storage units which must be coordinated locally. This paper proposes an agent-based method for integration of complex, heterogeneous Distributed Energy Resources into Virtual Power Plants. The approach models Distributed Energy Resources and Virtual Power Plants as agents with multi-objective, multi-issue reasoning. This enables modeling of VPPs constituting complex and heterogeneous Distributed Energy Resources with multiple, local objectives and decision points. The properties of the approach are illustrated using different Virtual Power Plant scenarios, which include Distributed Energy Resources of various types and complexities.
Original languageEnglish
Title of host publicationAdvances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection : Proceedings of the 5th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017
EditorsYves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Number of pages13
PublisherSpringer
Publication date3. Jun 2017
Pages43-55
ISBN (Print)978-3-319-59929-8
ISBN (Electronic)978-3-319-59930-4
DOIs
Publication statusPublished - 3. Jun 2017
Event15th International Conference on Practical Applications of Agents and Multi-Agent Systems - Porto, Portugal
Duration: 21. Jun 201723. Jun 2017
Conference number: 15

Conference

Conference15th International Conference on Practical Applications of Agents and Multi-Agent Systems
Number15
CountryPortugal
CityPorto
Period21/06/201723/06/2017
SeriesLecture Notes in Computer Science
Volume10349
ISSN0302-9743

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