Droop control strategy in inverter‐based microgrids: A brief review on analysis and application in islanded mode of operation

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

Abstract Droop control is at the first level of hierarchy and does not require communication. Having high reliability, usually used in inverter‐based microgrids. The microgrid can operate as an island, it also be connected to main or auxiliary grid. By reviewing extensive literature on role controller microgrids for island mode operation, this study, droop regulation strategy has been covered briefly compactly. example decentralized basic control, its importance revealed operation when possible share power all facilities without needing communicate with other units. Disadvantages common such slow transient dynamics low energy quality non‐linear unbalanced loads, have limited use advanced Therefore, various methods improve investigated so far, some which mentioned. This study highlights application strategies order coordinate distributed generation units microgrid. About 180 published studies field reviewed, classified indexed quick reference.

Язык: Английский

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A Hierarchical Deep Learning-Based Recurrent Convolutional Neural Network for Robust Voltage and Frequency Operation Management in Microgrids

Applied Soft Computing, Год журнала: 2024, Номер 170, С. 112645 - 112645

Опубликована: Дек. 19, 2024

Язык: Английский

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Innovative diagnosis of transformer winding defects using fuzzy and neutrosophic cross entropy measures

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103196 - 103196

Опубликована: Фев. 16, 2025

Язык: Английский

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Integrative Fault Diagnostic Analytics in Transformer Windings: Leveraging Logistic Regression, Discrete Wavelet Transform, and Neural Networks

Heliyon, Год журнала: 2025, Номер 11(4), С. e42872 - e42872

Опубликована: Фев. 1, 2025

Язык: Английский

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Cyber-physical coupled modelling for distributed coordination control of a new distribution system

International Journal of Electrical Power & Energy Systems, Год журнала: 2025, Номер 168, С. 110644 - 110644

Опубликована: Апрель 18, 2025

Язык: Английский

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Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review

Mathematics, Год журнала: 2024, Номер 12(20), С. 3241 - 3241

Опубликована: Окт. 16, 2024

With the rapid development of smart grids, strategic behavior evolution in user-side electricity market transactions has become increasingly complex. To explore dynamic mechanisms this area, paper systematically reviews application evolutionary game theory markets, focusing on its unique advantages modeling multi-agent interactions and strategy optimization. While excels explaining formation long-term stable strategies, it faces limitations when dealing with real-time changes high-dimensional state spaces. Thus, further investigates integration deep reinforcement learning, particularly Q-learning network (DQN), theory, aiming to enhance adaptability applications. The introduction DQN enables participants perform adaptive optimization rapidly changing environments, thereby more effectively responding supply–demand fluctuations markets. Through simulations based a model, study reveals characteristics under different conditions, highlighting interaction patterns among complex environments. In summary, comprehensive review not only demonstrates broad applicability markets but also extends potential decision making through modern algorithms, providing new theoretical foundations practical insights for future policy formulation.

Язык: Английский

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Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations

Electric Power Systems Research, Год журнала: 2024, Номер 239, С. 111279 - 111279

Опубликована: Ноя. 23, 2024

Язык: Английский

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