Open research questions in Microgrid Control and Optimization
78 unresolved questions extracted from the limitations and future-work sections of 412 Microgrid Control and Optimization papers in our library. Each links back to the study that raised it.
What the literature leaves open
The evaluation of the proposed AN-PLL is limited to simulation and experimental tests, which may not fully capture the complexity of real-world grid conditions. The method may require further refinement and testing to ensure its robustness and accuracy in a wide range of operating conditions.
An ADALINE-based PLL for single-phase grid synchronization with enhanced dynamics and harmonic rejection · 2026 · DOIFuture research directions include further refinement and testing of the proposed AN-PLL to ensure its robustness and accuracy in a wide range of operating conditions. The method can be applied to a wide range of power electronic applications, including motor drives and power supplies.
An ADALINE-based PLL for single-phase grid synchronization with enhanced dynamics and harmonic rejection · 2026 · DOIEnergy scheduling and resource coordination challenges associated with renewable energy generation and fluctuating load demands. The need to balance energy supply and demand while minimizing operational costs. The requirement to maintain system reliability and strengthen overall system performance.
Cost-Aware Energy Management Strategy for Microgrid Systems using Hybrid Optimization Techniques · 2026 · DOIThe efficiency of the solar panel system is affected by temperature and irradiance. The system needs to be designed to operate efficiently under different grid conditions. The cost of the system needs to be reduced to make it more viable.
Simulation and Analysis of High Performance of On-Grid Solar Panel System Based on Intelligent Controller · 2026 · DOIThe variability and unpredictability of renewable energy sources introduce operational challenges that impact grid stability. The reduction of system inertia due to the increasing penetration of inverter-based renewable sources makes the grid more sensitive to disturbances. The need for effective solutions to address the challenges of renewable energy variability on grid stability.
Power-hungry and difficult to interrupt data centres - Limited tolerance of interruption - Sharper fluctuations in power demand due to artificial-intelligence workloads and cloud services
INTEGRATION OF BATTERY ENERGY STORAGE SYSTEMS WITH HYBRID POWER GENERATION FOR RELIABLE AND LOW-EMISSION DATA CENTRES IN SAUDI ARABIA · 2026 · DOIUncertainty in renewable energy sources. Variability in demand. Limited grid capacity.
Optimizing microgrid energy management: a novel framework for user-centric demand-side management and dynamic reserve allocation under uncertainty · 2026 · DOIThe complexity of the microgrid system. The variability of the load conditions. The need for a comprehensive comparison of control strategies.
Comparative Evaluation of PI, PR, and LQR Controllers for Decentralized Primary Control of Islanded AC Microgrids · 2026 · DOITesting was conducted under limited irradiance levels (0.1–1 kW/m²) and a single sudden change scenario (1000 W/m² to 300 W/m²); broader environmental conditions and more diverse grid disturbance scenarios need evaluation.
Artificial neural network-based approach for optimized photovoltaic grid injection using a three-phase multilevel inverter · 2026 · DOIThe parameter selection methodology shown in Fig. 20 is illustrated only for specific parameters (Kud_p and KQ_p); systematic guidelines for selecting parameters across different operating conditions and grid strengths are not comprehensively provided.
A Family of Symmetrical Integrated Synchronizations for Grid-Following and Grid-Forming Inverters · 2026 · DOIThe paper does not provide detailed experimental validation across a comprehensive range of grid strength conditions beyond the specific SCR values tested (SCR = 2.4 and SCR = 29).
A Family of Symmetrical Integrated Synchronizations for Grid-Following and Grid-Forming Inverters · 2026 · DOIThe proposed framework is tested on a simulated system, and its performance on a real-world system is unknown. The framework assumes that the system model is accurate, which may not be the case in practice.
Uncertainty-Aware Hybrid MPC–Fuzzy Logic Control of FACTS-Based Switched Capacitor Compensation for Smart Grid Voltage Stability and Reactive Power Optimization · 2026 · DOITo test the proposed framework on a real-world system. To evaluate the performance of the framework under different operating scenarios. To explore the application of the framework to other smart grid control problems.
Uncertainty-Aware Hybrid MPC–Fuzzy Logic Control of FACTS-Based Switched Capacitor Compensation for Smart Grid Voltage Stability and Reactive Power Optimization · 2026 · DOIThe increasing penetration of non-linear loads introduces harmonic distortions and voltage dips, which can impact power quality. There is a need to evaluate the electrical performance of data centers under steady-state and dynamic operating conditions.
The application of other metaheuristic optimization algorithms in microgrid management. The integration of machine learning and metaheuristic optimization techniques in microgrid systems.
Metaheuristic Optimization and Machine Learning Integration for Intelligent Microgrid Management: A Comprehensive Review · 2026 · DOIAlthough virtual inertia is widely discussed, the explicit small-signal modeling of frequency-coupled HESD and its damping impact mechanisms are still inadequately explored.
Investigating the dynamic behavior of wind turbine generators. Investigating the factors affecting the practical implementation of reactive power support to the main grid.
An adaptive LQR-Based Framework for Real-Time Reactive Power Dispatch in Wind Power Plants · 2026 · DOIThe trade-off between complexity and accuracy in computing effective dispatch solutions. The need for a more practical and readily deployable solution for real-time reactive power dispatch in large wind farms.
An adaptive LQR-Based Framework for Real-Time Reactive Power Dispatch in Wind Power Plants · 2026 · DOIFuture research can focus on the development of advanced energy management systems using artificial intelligence and machine learning techniques. Cost reduction strategies, including the use of alternative storage technologies and improved manufacturing processes, should also be explored. Integration with smart grid infrastructure and the adoption of digital technologies such as IoT and digital twins can significantly enhance system monitoring, control, and overall efficiency.
Integration of Solar and Wind Energy with Energy Storage Systems for Reliable Power Supply · 2026 · DOIThe intermittent and unpredictable nature of solar and wind energy poses challenges for continuous power supply. The lack of efficient energy storage systems hinders the widespread adoption of renewable energy sources. The need for reliable and efficient energy systems that can integrate multiple sources of energy.
Integration of Solar and Wind Energy with Energy Storage Systems for Reliable Power Supply · 2026 · DOIThe primary challenge lies in controlling the system due to the LCL filter's resonance and the difficulty in generating the filter capacitor's reference voltage. There is a need for a novel control algorithm that can address these issues.
SINGLE PHASE GRID CONNECTED INVERTER CURRENT CONTROL METHOD BASED ON SMC WITH LCL FILTER · 2026 · DOIConventional energy meters are unable to accurately account for bidirectional power flow. The lack of a bi-directional energy metering system for grid-connected solar photovoltaic systems.
Design and simulation of an IoT-enabled Bi-directional energy meter for grid-connected photovoltaic systems · 2026 · DOIThe growing integration of inverter-based resources is creating new stability concerns in electric power systems. There is a need for effective optimization techniques to tune the control settings of STATCOM and BESS.
The grid supply is simulated by a DC source in the laboratory. The system can be improved further for smart grid and large-scale renewable energy applications.
IoT-Based Smart Microgrid Energy Management System for Voltage Stability and Reliable Power Distribution · 2026 · DOIImproving the system for smart grid and large-scale renewable energy applications. Integrating more advanced energy management techniques. Expanding the system to include more energy sources and loads.
IoT-Based Smart Microgrid Energy Management System for Voltage Stability and Reliable Power Distribution · 2026 · DOI
Most-cited papers in Microgrid Control and Optimization
- Comprehensive review of energy storage systems technologies, objectives, challenges, and future trends · Energy Strategy Reviews · 2024 · 483 citations
- A brief review on microgrids: Operation, applications, modeling, and control · International Transactions on Electrical Energy Systems · 2021 · 227 citations
- Energy Storage Systems: Technologies and High-Power Applications · Batteries · 2024 · 219 citations
- Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources · Scientific Reports · 2024 · 174 citations
- Grid-Forming Inverters: A Comparative Study of Different Control Strategies in Frequency and Time Domains · IEEE Open Journal of the Industrial Electronics Society · 2024 · 149 citations
- Advancing Electric Vehicle Charging Ecosystems With Intelligent Control of DC Microgrid Stability · IEEE Transactions on Industry Applications · 2024 · 143 citations
- Flywheel energy storage systems: A critical review on technologies, applications, and future prospects · International Transactions on Electrical Energy Systems · 2021 · 141 citations
- An Online Reinforcement Learning-Based Energy Management Strategy for Microgrids With Centralized Control · IEEE Transactions on Industry Applications · 2024 · 137 citations
- Multi-objective particle swarm optimization algorithm based on multi-strategy improvement for hybrid energy storage optimization configuration · Renewable Energy · 2024 · 104 citations
- Enabling High-Efficiency Economic Dispatch of Hybrid AC/DC Networked Microgrids: Steady-State Convex Bi-Directional Converter Models · IEEE Transactions on Smart Grid · 2024 · 100 citations
Most recent work
- A Family of Symmetrical Integrated Synchronizations for Grid-Following and Grid-Forming Inverters · IEEE Transactions on Power Electronics · 2026
- Fractional-order predictive direct power control for hybrid power systems based on shunt active power filters · Electrical Engineering · 2026
- Hybrid data- and model-driven approach for estimating slow power and frequency dynamics in inverter-dominated power systems · Electric Power Systems Research · 2026
- Asynchronous learning-based control for power systems with topological disturbances · Electric Power Systems Research · 2026
- Power quality improvement in microgrids using artificial intelligence techniques: A Review · Science and Technology for Energy Transition · 2026
- Large-Signal Stability Enhancement for FIS: Criterion-Based Parameter Optimization and Power Differentiation Feedforward Control · Electronics · 2026
- Artificial neural network-based approach for optimized photovoltaic grid injection using a three-phase multilevel inverter · Frontiers in Energy Research · 2026
- Lyapunov-Based Event-Triggered Fault-Tolerant Distributed Control for DC Microgrids with Communication Failures · Mathematics · 2026
- Computation of robust stability regions for time-delayed shipboard microgrid with fuel cell using Kharitonov’s theorem · COMPEL - The international journal for computation and mathematics in electrical and electronic engineering · 2026
- Self-Sustaining Energy Management Systems in Smart Microgrids Using Artificial Intelligence · International Journal of Control, Automation, and Systems · 2026
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