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

Coelho, Vitor N.; Cohen, Miri; Coelho, Igor Machado; Liu, Nian; Guimarães, Frederico Gadelha

doi:10.1016/j.apenergy.2016.10.056

Cited by 167 publications

(65 citation statements)

References 141 publications

(175 reference statements)

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“…These agents are at the lowest level to monitor the status and control operations of these electrical devices. All of these agents can be coordinated by MGCC, when the load agent sends a command signal, the MGCC informs the related agents in the MG [160]. During the whole process, the communication and coordination are the most important factors and the whole decision-making process follows the contact net protocol [161].…”

Section: B Mas-based Distributed Coordination Control Of the Microgrmentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

324

172

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Abstract-The increasing integration of the distributed renewable energy sources highlights the requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). The multi-agent system (MAS)-based distributed coordinated control strategies shows the benefits to balance the power and energy, stabilize voltage and frequency, achieve economic and coordinated operation among the MGs and MGCs. However, the complex and diverse combinations of distributed generations in multi-agent system increase the complexity of system control and operation. In order to design the optimized configuration and control strategy using MAS, the topology models and mathematic models such as the graph topology model, non-cooperative game model, the genetic algorithm and particle swarm optimization algorithm are summarized. The merits and drawbacks of these control methods are compared. Moreover, since the consensus is a vital problem in the complex dynamical systems, the distributed MAS-based consensus protocols are systematically reviewed. NOMENCLATURE

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Section: B Mas-based Distributed Coordination Control Of the Microgrmentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

324

172

View full text Add to dashboard Cite

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“…In a MAS, every agent has a certain intelligence to perform local control independentely, several agents within the lower layer obey orders from one agent in upper layer. Thus, MAS can switch between distributed and centralized control freely when needed [12,17,18] . This paper focuses on a brief review of current MAS technology utilized in MG control.…”

mentioning

confidence: 99%

A Review on Multi-Agent Technology in Micro-Grid Control

Ding

Yin

2018

Electron Sci Technol Appl

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Micro-Grid (MG) integrates renewable generation, storage devices and controllable generations, it provides efficent utilization of clean energy while keeping stable external characteristics. Capability of continuous power supply, high scalability and flexible operation modes can satifiy the current demand of joint operation of renewable generation and Macro-Grid, and will provide a solid foundation for smart grid technology in the future. Thus, MG is an excellent integration of renewable energy utilization with a bright future, Multi-Agent System (MAS) is a new hierarchical control platform and can completely cover all the devices within a MG, its flexible control modes meet the needs of various operations of MG, and the capability of distributed computing supports intelligent functions of MG in the future. Therefore, developing premium functions for MAS in MG control will promote the development of both MG and Smart Grid technologies. This paper reviews the current applications of MAS technology for MG both in basic and advanced control demands. For basic demands concerning safe operations for MG, functions of MAS are available, but a further improvement of performance is essential for future researches to increase penetration of MAS in MG control; For advanced demands, MAS should increase calculation speed to meet the complex need of MG. In the last part, the future focuses are also depicted.

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“…Distributed generation has emerged as a feasible and smart solution to bring the conventional and centralized grid towards a modern paradigm of generation in a distributed fashion [1]. Although, new technological developments carry new challenges, such as reliable and efficient operation of parallel small distributed units, how to incorporate new devices into the already existed grid, and optimal and high quality of power supplying are typical examples of obstacles that must be overcome.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

Ferreira

Brandão

Guimarães

et al. 2017

2017 Brazilian Power Electronics Conference (COBEP)

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-This paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network´s active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.

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

Cited by 167 publications

References 141 publications

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

A Review on Multi-Agent Technology in Micro-Grid Control

Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

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