Proposal of a Master–Slave Control for an Isolated Microgrid after an Intentional Islanding

Alves, Guilherme Henrique; Guimarães, Geraldo Caixeta; Moura, Fabrício Augusto Matheus; Souza, Arthur Costa de; Júnior, Lúcio Rogério; Silva, Leonardo Rosenthal Caetano

doi:10.1007/s40313-023-01001-9

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…Low inertia: MGs do not have inherent stability and can face several instabilities caused many times in situations of grid formation without the installation of SG and high concentrations of NDRS in conditions to operate in island mode. To avoid these problems, implement BESSs with the appropriate controls or reinstall the SG [7,18]. Uncertainties: MGs are subject to variations caused by environmental conditions.…”

Section: Challenges Of Implementing Modern and Intelligent Gridsmentioning

confidence: 99%

“…It connects the connection to the main grid occurs through the point of common coupling (PCC), covering local control systems, distributed generation (DG), distributed ESSs, and controlled or non-controlled loads. Furthermore, an MG has electrical limits and behaves as a single controlled entity concerning the main grid [7,27]. Figure 4 shows an example of an MG.…”

Section: The Mg and The Current Energy Systemmentioning

confidence: 99%

“…It is an alternative to centralized power generation systems, which depend on large power plants and high-voltage transmission lines to supply electricity to remote areas. With MGs, it is possible to supply electricity more efficiently and with a high level of reliability [7][8][9]. The result of this is the more active distribution side that participates in the operation of the electrical system.…”

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confidence: 99%

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Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

2023

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The current microgrid (MG) needs alternatives to raise the management level and avoid waste. This approach is important for developing the modern electrical system, as it allows for better integration of distributed generation (DG) and battery energy storage systems (BESSs). Using algorithms based on artificial intelligence (AI) for the energy management system (EMS) can help improve the MG operation to achieve the lowest possible cost in buying and selling electricity and, consequently, increase energy conservation levels. With this, the research proposes two strategies for managing energy in the MG to determine the instants of charge and discharge of the BESS. A heuristic method is employed as a reference point for comparison purposes with the fuzzy logic (FL) operation developed. Furthermore, other algorithms based on artificial neural networks (ANNs) are proposed using the non-linear autoregressive technique to predict the MG variables. During the research, the developed algorithms were evaluated through extensive case studies, with simulations that used data from the PV system, load demands, and electricity prices. For all cases, the AI algorithms for predictions and actions managed to reduce the cost and daily consumption of electricity in the main electricity grids compared with the heuristic method or with the MG without using BESSs. This indicates that the developed power management strategies can be applied to reduce the costs of grid-connected MG operations. It is important to highlight that the simulations were executed in an adequate time, allowing the use of the proposed algorithms in dynamic real-time situations to contribute to developing more efficient and sustainable electrical systems.

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Section: Challenges Of Implementing Modern and Intelligent Gridsmentioning

confidence: 99%

Section: The Mg and The Current Energy Systemmentioning

confidence: 99%

mentioning

confidence: 99%

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Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

2023

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Electronic Dynamic Switching Techniques for Efficient Drive of Asymmetric Three-Phase Motors with Single-Phase Supply

Prado,

Guimarães,

Alves

2024

Energies

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This article presents an analysis of the behavior of an asymmetric machine subjected to dynamic switching at different load levels. The authors herein present theoretical and practical results regarding the drive of a 2 HP asymmetric three-phase induction motor, allowing for conclusions to be drawn concerning its operation in such a configuration using capacitive dynamic switching. Previous research has demonstrated that the efficiency of single-phase powered asymmetric motors is only viable when the applied load matches the rated load of the motor. Given that this mode of operation is shown to hold practical infeasibilities for asymmetric three-phase motors, the proposal of a solution is put forward that involves varying the capacitance according to demand. This approach results in a significant improvement in efficiency regardless of whether the motor is running on a full or reduced load.

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Proposal of a Master–Slave Control for an Isolated Microgrid after an Intentional Islanding

Cited by 2 publications

References 20 publications

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

Electronic Dynamic Switching Techniques for Efficient Drive of Asymmetric Three-Phase Motors with Single-Phase Supply

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