An Event-Based Resource Management Framework for Distributed Decision-Making in Decentralized Virtual Power Plants

Jianchao Zhang, Boon-Chong Seet and Tek Tjing Lie
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Jianchao Zhang: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Boon-Chong Seet: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Tek Tjing Lie: Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand

Energies, 2016, vol. 9, issue 8, 1-19

Abstract: 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: resource management framework; distributed decision-making; virtual power plant; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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