Survey of multiagents systems application in Microgrids

Harmouch, Fatima Zahra; Krami, Nissrine; Benhaddou, Driss; Hmina, Nabil; Elmajid, Zayer; Margoum, El Hassane

doi:10.1109/eitech.2016.7519604

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…The use of multi-agent systems for microgrid energy management have a clear fit [28]- [30]. Using a multi-agent system we provide autonomy and independency for each microgrid player.For this paper it was used a variation of MASGriP [31] named SOICAM [9], [32] (Figure 6).…”

Section: Soicam Multi-agent Systemmentioning

confidence: 99%

Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway

Gomes

Faria

Vale

et al. 2019

IEEE Trans. on Ind. Applicat.

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Microgrids have been implemented all over the world in the last years. Several benefits are known for consumers and power grid management. As part of microgrids, the local energy management of renewable energy sources can prevent energy loses and support microgrid operation in islanded modes. Besides the success of the current microgrid implementations, improved components and models are required. This paper proposes two tools that support the implementation of microgrid demonstrations, namely at laboratorial premises. Improved microgrid models implementation enables the development, test and validation of new energy management methodologies. The first proposed tool is a wireless gateway for energy monitoring and control. To implement complete microgrids, the second tool proposes an energy analyzer emulator, bringing unavailable loads to the microgrid, such as, residential loads usually unavailable in R&D centers. A real laboratory microgrid implementation using the proposed gateway and the proposed energy analyzer emulator is presented and discussed, demonstrating the actual capabilities of the developed tools.

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Section: Soicam Multi-agent Systemmentioning

confidence: 99%

Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway

Gomes

Faria

Vale

et al. 2019

IEEE Trans. on Ind. Applicat.

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“…MAS knew lot of improvement during last years. The nature of the modular and decentralized structure increase researchers' interest to apply them in power system context [16]. An agent is nothing but a cyber or cyber physical entity that can act autonomously according to its environment, take decisions and achieve its goals and interacts with its peers [17].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm

et al. 2019

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The real-time operation of the energy management system (RT-EMS) is one of the vital functions of Microgrids (MG). In this context, the reliability and smooth operation should be maintained in real time regardless of load and generation variations and without losing the optimum operation cost. This paper presents a design and implementation of a RT-EMS based on Multiagent system (MAS) and the fast converging T-Cell algorithm to minimize the MG operational cost and maximize the real-time response in grid-connected MG. The RT-EMS has the main function to ensure the energy dispatch between the distributed generation (DG) units that consist in this work on a wind generator, solar energy, energy storage units, controllable loads and the main grid. A modular multi-agent platform is proposed to implement the RT-EMS. The MAS has features such as peer-to-peer communication capability, a fault-tolerance structure, and high flexibility, which make it convenient for MG context. Each component of the MG has its own managing agent. While, the MG optimizer (MGO) is the agent responsible for running the optimization and ensuring the seamless operation of the MG in real time, the MG supervisor (MGS) is the agent that intercepts sudden high load variations and computes the new optimum operating point. In addition, the proposed RT-EMS develops an integration of the MAS platform with the Data Distribution Service (DDS) as a middleware to communicate with the physical units. In this work, the proposed algorithm minimizes the cost function of the MG as well as maximizes the use of renewable energy generation; Then, it assigns the power reference to each DG of the MG. The total time delay of the optimization and the communication between the EMS components were reduced. To verify the performance of our proposed system, an experimental validation in a MG testbed were conducted. Results show the reliability and the effectiveness of the proposed multiagent based RT-EMS. Various scenarios were tested such as normal operation as well as sudden load variation. The optimum values were obtained faster in terms of computation time as compared to existing techniques. The latency from the proposed system was 43% faster than other heuristic or deterministic methods in the literature. This significant improvement makes this proposed system more competitive for RT applications.

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“…Besides it reduces the switching frequency of the inverter [15]. But the drawback of this controller is that it is so much sensitive to the load parameters.…”

Section: Introductionmentioning

confidence: 99%

Negative Imaginary Approached High Performance Robust Resonant Controller Design for Single-Phase Islanded Microgrid and Its Voltage Observation on Different Load Condition

Bairagi¹,

Habib²,

Rahman³

et al. 2018

ICA

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This paper presents the design of a high performance robust resonant controller for the islanded single-phase microgrid operation on different loads conditions. The design of the controller is done using the results of Negative Imaginary approach. The performance of the proposed controller has been found much effective to track the instantaneous reference grid voltage. The simulation work has been done with the help of MATLAB/SimPower System toolbox. This shows that the proposed controller provides effective control of voltage against the uncertain load conditions.

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Survey of multiagents systems application in Microgrids

Cited by 12 publications

References 18 publications

Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway

Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway

An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm

Negative Imaginary Approached High Performance Robust Resonant Controller Design for Single-Phase Islanded Microgrid and Its Voltage Observation on Different Load Condition

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