LAPSE:2019.0104
Published Article
LAPSE:2019.0104
An Event-Based Resource Management Framework for Distributed Decision-Making in Decentralized Virtual Power Plants
Jianchao Zhang, Boon-Chong Seet, Tek Tjing Lie
January 7, 2019
The Smart Grid incorporates advanced information and communication technologies (ICTs) in power systems, and is characterized by high penetration of distributed energy resources (DERs). Whether it is the nation-wide power grid or a single residential building, the energy management involves different types of resources that often depend on and influence each other. The concept of virtual power plant (VPP) has been proposed to represent the aggregation of energy resources in the electricity market, and distributed decision-making (DDM) plays a vital role in VPP due to its complex nature. This paper proposes a framework for managing different resource types of relevance to energy management for decentralized VPP. The framework views VPP as a hierarchical structure and abstracts energy consumption/generation as contractual resources, i.e., contractual offerings to curtail load/supply energy, from third party VPP participants for DDM. The proposed resource models, event-based approach to decision making, multi-agent system and ontology implementation of the framework are presented in detail. The effectiveness of the proposed framework is then demonstrated through an application to a simulated campus VPP with real building energy data.
Keywords
distributed decision-making, resource management framework, smart grid, virtual power plant
Suggested Citation
Zhang J, Seet BC, Lie TT. An Event-Based Resource Management Framework for Distributed Decision-Making in Decentralized Virtual Power Plants. (2019). LAPSE:2019.0104
Author Affiliations
Zhang J: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Seet BC: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand [ORCID]
Lie TT: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
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Journal Name
Energies
Volume
9
Issue
8
Article Number
E595
Year
2016
Publication Date
2016-07-28
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9080595, Publication Type: Journal Article
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LAPSE:2019.0104
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doi:10.3390/en9080595
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Jan 7, 2019
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CC BY 4.0
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[v1] (Original Submission)
Jan 7, 2019
 
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Jan 7, 2019
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Original Submitter
Calvin Tsay
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