AI-enhanced model predictive control in microgrids
This study reviews research progress on power sources and microgrid load management and control. The focus is on the power converter control and MPC strategies in the primary,
Since microgrids are made up of several components that can function in network distribution mode using AC, DC, and hybrid systems, an appropriate control strategy and monitoring system is necessary to ensure that the power from microgrids is delivered to sensitive loads and the main grid effectively.
Various strategies have been used to overcome the challenges of microgrid systems, such as energy balance, voltage and frequency stability, load forecasting, cost reduction, and fault diagnosis . Optimization techniques as control strategies can be classified into mathematical and metaheuristic techniques.
Key research directions for future studies on microgrid control were identified. With the depletion of fossil fuels, the integration of renewable energy sources as distributed energy resources has become mandatory.
Energy and power management is another control objective, with 58 papers proposing artificial intelligence (AI), optimization, and predictive methods. Researchers use all types of control techniques to manage the power flow and energy in microgrids with an almost equal number of papers for each technique.
This study reviews research progress on power sources and microgrid load management and control. The focus is on the power converter control and MPC strategies in the primary,
Concluding with future research directions, the paper underscores the need for more robust control frameworks, advanced storage technologies, and enhanced cybersecurity measures,
Among Internet of Things (IoT) technologies, real-time monitoring, remote control, and predictive analytics contribute to MGs'' eficiency [6,7]. The IoT facilitates easy communication
Microgrids (MGs) are gaining traction as a sustainable and reliable power solution, particularly in remote areas. Efficient and intelligent control strategies are crucial for optimizing MG
Microgrids (MGs) technologies, with their advanced control techniques and real-time monitoring systems, provide users with attractive benefits including enhanced power quality, stability,
Effective control systems are essential for ensuring smooth integration, managing energy storage systems, and maintaining microgrid safety. In this study, a review of recent control methods
A microgrid, regarded as one of the cornerstones of the future smart grid, uses distributed generations and information technology to create a widely distributed automated energy delivery
Integrating diverse renewable energy sources into the grid has further emphasized the need for effec-tive management and sophisticated control strategies. This review explores the crucial
Advancements and Challenges in Microgrid Technology: A Comprehensive Review of Control Strategies, Emerging Technologies, and Future Directions Ark Dev, Vineet Kumar, Gaurav
The aim of this paper is to verify the feasibility and effectiveness of integrated control strategies for microgrids. To achieve this goal, we constructed a microgrid control model on a
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