Distributed multi-agent based coordinated power management and control strategy for microgrids with distributed energy resources

Rahman, M. S.; Oo, Amanullah M. T.

doi:10.1016/j.enconman.2017.02.021

Cited by 90 publications

(45 citation statements)

References 28 publications

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“…[32] implemented energy markets in DR program-based open automated demand response (OpenADR) programs. Conversely, agents communicate directly in the P2P model, for instance using a distributed P2P multi-agent framework to manage power sharing in MG [56]. The proposed algorithm is based on graph theory, in particular the Ziegler-Nichols method, which was applied to electric vehicles (EV).…”

Section: Multi-agent System For Inter-prosumer Communicationmentioning

confidence: 99%

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State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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Abstract:Transaction-based energy (TE) management and control has become an increasingly relevant topic, attracting considerable attention from industry and the research community alike. As a result, new techniques are emerging for its development and actualization. This paper presents a comprehensive review of TE involving peer-to-peer (P2P) energy trading and also covering the concept, enabling technologies, frameworks, active research efforts and the prospects of TE. The formulation of a common approach for TE management modelling is challenging given the diversity of circumstances of prosumers in terms of capacity, profiles and objectives. This has resulted in divergent opinions in the literature. The idea of this paper is therefore to explore these viewpoints and provide some perspectives on this burgeoning topic on P2P TE systems. This study identified that most of the techniques in the literature exclusively formulate energy trade problems as a game, an optimization problem or a variational inequality problem. It was also observed that none of the existing works has considered a unified messaging framework. This is a potential area for further investigation.

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Section: Multi-agent System For Inter-prosumer Communicationmentioning

confidence: 99%

“…MAS have been studied in the literature for MG managements [8,56]. MAS can treat the MG as a cluster of energy markets; for instance, Ref.…”

Section: Multi-agent System For Inter-prosumer Communicationmentioning

confidence: 99%

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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“…To avoid expensive communication lines and increase the reliability of power sharing, the primary control level generally adopts the droop control concept and the secondary one a MAS in a distributed manner to restore the voltage and frequency [119,120]. In MAS technologies, local controllers can make decisions autonomously regarding controlling their own DG units by communicating with neighbouring ones.…”

Section: Challenges Of Microgridsmentioning

confidence: 99%

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Hossain¹,

Pota²,

Hossain³

et al. 2018

Preprint

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Although microgrids facilitate the increased penetration of distributed generations (DGs) and improve the security of power supplies, they have some issues that need to be better understood and addressed before realising the full potential of microgrids. This paper presents a comprehensive list of challenges and opportunities supported by a literature review on the evolution of converter-based microgrids. The discussion in this paper presented with a view to establishing microgrids as distinct from the existing distribution systems. This is accomplished by, firstly, describing the challenges and benefits of using DG units in a distribution network and then those of microgrid ones. Also, the definitions, classifications and characteristics of microgrids are revised according to their specific roles to provide a sound basis for novice researchers to undertake ongoing research on microgrids.

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“…The convergence of information and communications technologies (ICTs) with power system engineering allows new levels of automation. DSM in this context is usually formulated as optimization problems, which may be solved by various approaches [10][11][12][13][14][15][16][17]. These approaches are also moving towards a new paradigm where the consumer is the center of the grid and goes from being a passive element that only consumes to an active element involved in the management [18].…”

Section: Introductionmentioning

confidence: 99%

SwarmGrid: Demand-Side Management with Distributed Energy Resources Based on Multifrequency Agent Coordination

et al. 2018

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This paper focuses on a multi-agent coordination for demand-side management in electrical grids with high penetration rates of distributed generation, in particular photovoltaic generation. This coordination is done by the use of swarm intelligence and coupled oscillators, proposing a novel methodology, which is implemented by the so-call SwarmGrid algorithm. SwarmGrid seeks to smooth the aggregated consumption by considering distributed and local generation by the development of a self-organized algorithm based on multifrequency agent coordination. The objective of this algorithm is to increase stability and reduce stress of the electrical grid by the aggregated consumption smoothing based on a frequency domain approach. The algorithm allows not only improvements in the electrical grid, but also increases the penetration of distributed and renewable sources. Contrary to other approaches, this objective is achieved anonymously without the need for information exchange between the users; it only takes into account the aggregated consumption of the whole grid.

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Distributed multi-agent based coordinated power management and control strategy for microgrids with distributed energy resources

Cited by 90 publications

References 28 publications

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

SwarmGrid: Demand-Side Management with Distributed Energy Resources Based on Multifrequency Agent Coordination

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