This article provides systematic review to follow a thorough evaluation of the present status of research on reinforcement learning (RL)-based microgrid control. The description of
To address these challenges, optimal scheduling strategies must be developed to ensure efficient energy dispatch, fault tolerance, and risk-aware decision-making under uncertain conditions
The optimal stochastic energy management of resilient microgrid consists of non-renewable power that runs when the microgrid is in islanded mode, which consist photovoltaic
However, being highly dependent on communication networks, DC microgrids are exposed to cyber-attacks. Therefore, in this paper, a resilient cooperative control method is proposed for DC microgrid
This review presents a comprehensive analysis of artificial intelligence (AI)-based methods for real-time grid management, and fault detection. Unlike previous works that focus on isolated grid
Within the Smart Grid paradigm, advanced sensing, communication, and control technologies enable the coordinated operation of flexible Distributed Energy Resources (DERs) at
This paper presents a novel framework for enhancing the cyber-resilience of microgrids (MGs) by integrating consensus-based distributed model predictive control (DMPC) with a residual
Increasing renewable energy penetration, dynamic distributed generation, and the need for resilient localized energy systems have introduced significant technical and operational challenges in
This research aimed to develop a deep reinforcement learning (DRL) based EMS for optimizing microgrid operation considering operational cost, battery degradation, and renewable
Microgrids are being considered to be very crucial in enhancing the involvement of renewable energy sources (RESs) in electrical grids and also improving their overall sustainability
Enhancing the resilience and efficiency of microgrids through optimal integration of renewable energy sources and intelligent control systems: A review
In this work, we propose a Distributed Safety-Critical Controller (DSCC) that systematically integrates global stabilization with formal safety guarantees in a fully decentral-ized manner.
As microgrids increasingly depend on cloud-based management platforms, ensuring data privacy and protection against cyber threats becomes a
Abstract Microgrids with distributed generation (DG) provide a resilient solution in the case of major faults in a distribution system due to natural disasters.
Multi-energy microgrids (MEMGs) with green hydrogen have attracted significant research attention for their benefits, such as energy efficiency improvement, carbon emission
The objective of this paper is to present an updated comprehensive review of the literature on two main categories of microgrid-based resilience enhancement approaches in distribution
Microgrids (MGs) provide a promising solution by enabling localized control over energy generation, storage, and distribution. This paper presents a novel reinforcement learning (RL)-based
Motivated by the rapid global energy transition and carbon peaking and neutrality goals, microgrids have emerged as critical platforms for integrating distribut
Addresses resilient operation: fault and islanding detection, LVRT, load shedding, and smooth grid synchronization. Discusses AI/ML-based control, fault diagnosis, optimization, and future
Article Open access Published: 17 November 2025 Enhancing microgrid resilience through integrated grid-forming and grid-following inverter strategies for solar PV battery control and
Additionally, the paper examines microgrid strategies for enhancing power system resilience, classifying them based on local and global resilience and providing a detailed comparison
Semantic Scholar extracted view of "Distributed resilient secondary control based on maximum correntropy criterion for DC microgrid against false data injection" by Zeling Zhang et al.
While the research carried out to date has focused on utilizing existing microgrids as reviewed above, the idea of planning for future microgrids and combining it with operation actions to
Highlights • A resilient scheduling strategy is proposed for electricity-gas-hydrogen microgrids. • A unified model is proposed to enable seamless transition between normal and
Energy management system, optimal power flow and dynamic control are three basic approaches utilized to model resilient power systems.
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