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This paper proposes the concept of Distributed Energy Resource (DER) management, based on dynamic clustering of energy resources for better coordination of supply and demand. A review on load profiling and forecasting mechanisms is provided which to be utilised in building knowledge, needed for local and global coordination. To avoid large scale complexities, a decentralised control approach with Multi Agent System (MAS) is deployed. A review on MAS technologies and their application in power system is presented. With MAS we provide a framework for designing producer, consumer and cluster agents. These agents further negotiate Service Level Agreements for managing supply and demand and optimally utilizing the energy resources.
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Brazier et al. (2015) studied this question.
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