Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems

Netto, Roberto S.; Ramalho, Guilherme R.; Bonatto, Benedito Donizeti; Carpinteiro, O.A.S.; Souza, Antônio Carlos Zambroni de; Oliveira, Denisson Q.; Braga, Rodrigo Aparecido da Silva

doi:10.3390/en11030656

Cited by 21 publications

(10 citation statements)

References 50 publications

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“…Netto et al [75] developed a real time framework for energy management in a smart MG in the islanded mode using a multi-agent system. The RSCAD software was used to simulate the MG using the TCP/IP protocol for the purposes of testing and real time operation.…”

Section: Energy Management Based On Multi-agent Systemsmentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the intermittent nature of renewable energy, energy storage technology is considered to be an attractive option due to increased technological maturity, energy density, and capability of providing grid services such as frequency response. Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.

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Section: Energy Management Based On Multi-agent Systemsmentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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“…The EMS ensures the monitoring, control and diagnosis of the microgrid, provides control and management of generators and prevents plant shut down in case of faults of the electrical network [20][21][22]. Both the grid-connected and islanded operation have to be considered by the EMS.…”

Section: Energy Management Systemmentioning

confidence: 99%

Hardware-in-the-Loop Validation of Energy Management Systems for Microgrids: A Short Overview and a Case Study

et al. 2018

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The energy management system (EMS) of a microgrid often presents a complex structure and a large number of control functions, which must be validated to ensure a reliable and optimal operation of the microgrid. Control system validation is typically performed by using hardware-in-the-loop (HIL) architectures in which the microgrid is simulated in real time and interfaced with the actual system under test. The simulation must ensure both an accurate representation of the microgrid and a reliable replica of the field communication of the EMS with all the control devices. In this paper, an overview of the various HIL architectures proposed in the literature is firstly outlined. Then, an HIL validation facility is presented and used to validate the EMS of an industrial microgrid. Finally, some results of the validation tests are reported to give evidence of the effectiveness of the proposed facility. In the proposed architecture, the soft real-time digital simulator of the microgrid is interfaced with the actual EMS using the same communication system and protocol as on the field. The main advantages of the proposed testing facility are: (i) the use of commercial PCs and the absence of dedicated interface modules, resulting in inexpensive hardware components; (ii) the capability to validate both control and communication functions of the EMS; (iii) the applicability to microgrids of different types (industrial, commercial, residential), as well as of various dimensions, including large microgrids; (iv) the easiness in changing the microgrid and the EMS under validation by only software modifications of the simulator tasks and of the exchange interface. As drawbacks, the proposed testing facility presents the need to adapt the software interface between EMS and the field to the EMS under test and the possibility of testing only the EMS functions and not fast-acting local controllers of the microgrid such as the protection systems.

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“…Therefore, challenges in managing a multi-agent system have been extensively studied with the proposal of a variety of approaches and algorithms [1][2][3][4][5][6][7][8] which are applicable to a multiplicity of systems ranging from military operations to resource distribution [2,6,[8][9][10]. One notable approach is the introduction of game-theoretic framework in multi-agent systems.…”

Section: Introductionmentioning

confidence: 99%

Improving Computational Efficiency in Crowded Task Allocation Games with Coupled Constraints

Lim

Choi

2019

Applied Sciences

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Multi-agent task allocation is a well-studied field with many proven algorithms. In real-world applications, many tasks have complicated coupled relationships that affect the feasibility of some algorithms. In this paper, we leverage on the properties of potential games and introduce a scheduling algorithm to provide feasible solutions in allocation scenarios with complicated spatial and temporal dependence. Additionally, we propose the use of random sampling in a Distributed Stochastic Algorithm to enhance speed of convergence. We demonstrate the feasibility of such an approach in a simulated disaster relief operation and show that feasibly good results can be obtained when the confirmation and sample size requirements are properly selected.

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Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems

Cited by 21 publications

References 50 publications

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Hardware-in-the-Loop Validation of Energy Management Systems for Microgrids: A Short Overview and a Case Study

Improving Computational Efficiency in Crowded Task Allocation Games with Coupled Constraints

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