A multi-agent system for distributed energy resources control in microgrid

Zheng, Wendi; Jin-ding, Cai

doi:10.1109/cris.2010.5617485

Cited by 16 publications

(5 citation statements)

References 16 publications

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“…The concept of micro-grid has emerged based on the central idea of integrating distributed energy sources, controllable loads, and storage devices [76]. However, control of distributed energy sources in the micro-grid is a complex task due to the variability and intermittency issues of the renewable energy systems [77]. Such complexities can be managed by multi-agent based approaches which compose multiple interactive intelligent agents [78].…”

Section: Renewable Energy Integration To Grid and Distributed Generationmentioning

confidence: 99%

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Joseph

Balachandra

2020

IEEE Access

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The concept of Energy Internet has emerged from the limitless possibilities of energy sharing networks formed by interconnection of electricity producers cum consumers (prosumers) with renewable energy sources/systems, electric loads, and storage devices. Energy Internet represents a radical transformation of traditional electricity system by orchestrating real-time bidirectional power, communication, and money flows. This transformation is expected to be resultant of ongoing renewable energy transitions and evolution in the energy technologies such as smart grids, storage devices, vehicle-togrid, etc. Energy Internet will rely on wide spectrum of Information and Communication Technologies such as Internet of Things, Artificial Intelligence, Blockchains, Payment Interfaces, etc. These technologies have achieved a state of evolution to facilitate seamless bidirectional flows in the Energy Internet. This paper has attempted to study the aptness of Energy Internet for a transitioning electricity system by focusing on national electricity systems across the globe. Firstly, study delves into discussion on studies related to smart grids since it is the precursor of Energy Internet, and various other studies which discuss the developments that likely to enable smooth transition of present electricity system to Energy Internet. Secondly, a systematic review of literature related to state-of-the-art of Energy Internet is performed to outline its structure, operational features and energy market mechanisms. We find that while system infrastructures, technologies, and operational principles across globe are adequately ready for the transition to Energy Internet, hindrances put forth by the policies, regulations, government agencies and institutions need to be addressed to realize a nationwide Energy Internet.

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Section: Renewable Energy Integration To Grid and Distributed Generationmentioning

confidence: 99%

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Joseph

Balachandra

2020

IEEE Access

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“…MG systems aggregate many DER and loads together as an autonomous entity [23]. Furthermore, additional components added or improved by consumers will be integrated to the SG, imposing new frontiers for MG control and management.…”

Section: Introductionmentioning

confidence: 99%

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

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“…The usage of MAS for the aggregation of DERs to microgrids, modern, small-scale versions of the centralized electricity systems is described in [22], [23]. In [22] the aggregation of DERs and loads together to an autonomous entity a microgrid is described.…”

Section: Demand-side Management and Multi-agent Systemsmentioning

confidence: 99%

“…In [22] the aggregation of DERs and loads together to an autonomous entity a microgrid is described. Here a MAS approach as a branch of distributed artificial intelligence methods is introduced for DERs control in the microgrid.…”

Section: Demand-side Management and Multi-agent Systemsmentioning

confidence: 99%

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

Dethlefs¹,

Preisler²,

Renz³

2014

Annals of Computer Science and Information Systems

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Abstract-Dynamic and volatile grid conditions caused by the growing amount of renewable energy producers require the operation of large-scale distributed Demand-Side Management (DSM) applications. This is one of the tasks of the aggregator role in smart grid operation according to the Smart Grid Architecture Model (SGAM). For the optimization of distributed demandside loads under such conditions, Multi-Agent Systems (MAS) have been shown to provide an appropriate paradigm to model, simulate and deploy automated operating components.In this paper, we address an engineering problem that is still a matter of concern, namely the construction of efficient distributed optimization algorithms in conjunction with a generic software architecture. For this purpose, a distributed Multi-Agent architecture is presented with a generic consumer model and an energy exchange market as well as further roles and components. Ant Colony System Optimization is shown to effectively optimize consumers in a nature-inspired, self-organizing way.The applicability of the proposed approach will be demonstrated in a use-case study where a group of heterogenous consumers optimize their runtimes in order to map their demand to the energy generation of a wind power plant in a self-organized fashion.

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A multi-agent system for distributed energy resources control in microgrid

Cited by 16 publications

References 16 publications

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

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