Load Frequency Control Strategies in Microgrid Systems

Maintaining frequency stability in microgrids is critical to ensure reliable power delivery amid the high penetration of variable renewable sources and diverse loads. Traditional droop control provides a decentralised first line of defence by adjusting generation output in response to frequency deviations. However, its limited accuracy and slow restoration of nominal frequency have driven the development of secondary regulation layers, including automatic generation control frameworks and virtual inertia schemes that emulate synchronous-machine dynamics. Advanced strategies now integrate demand-side assets—such as demand response programmes and vehicle-to-grid participation—to act as flexible reserves, while centralised and distributed controllers leverage model predictive, fractional-order and intelligent-optimisation techniques. These methods tune control parameters dynamically to reconcile rapid renewable fluctuations, energy storage constraints and communication delays, achieving faster response, reduced overshoot and improved robustness. Hybrid approaches combine renewable generators, diesel units, batteries, supercapacitors and controllable loads, coordinated via multi-objective optimisation to minimise frequency excursions and tie-line power deviations. The result is a suite of adaptable frequency-regulation solutions tailored to the unique inertia and topology of islanded or grid-connected microgrids, with growing emphasis on real-time implementation and cyber-physical integration.

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Load Frequency Control Strategies in Microgrid Systems publication trend

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Technical terms

Droop control: A decentralised method that adjusts generator output based on frequency deviation to share load changes proportionally.

Automatic generation control (AGC): A secondary regulation layer that coordinates multiple units to restore system frequency and tie-line power to setpoints.

Virtual inertia: A control technique that emulates the inertial response of synchronous machines using power electronics and energy storage.

Demand response (DR): A strategy that engages consumers to adjust demand in real time to support grid frequency and balance.

Model predictive control (MPC): An optimisation-based control scheme that forecasts system behaviour over a horizon and adjusts inputs accordingly.

Fractional-order controller: A controller employing non-integer order calculus to provide additional tuning flexibility and improved dynamic performance.

References

1. Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory. Energies (2015).
2. Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid. Energies (2018).
3. Optimum Synthesis of a BOA Optimized Novel Dual-Stage PI − (1 + ID) Controller for Frequency Response of a Microgrid. Energies (2020).
4. Performance Assessment of an Islanded Hybrid Power System with Different Storage Combinations Using an FPA-Tuned Two-Degree-of-Freedom (2DOF) Controller. Energies (2020).