Control Strategies for Microgrid Energy Management
Summary
Microgrids integrate distributed energy resources, storage devices and loads within a defined electrical boundary to deliver resilient and efficient power supply. Control strategies are designed to maintain voltage and frequency stability, balance power flow and optimise resource utilisation under both grid-connected and islanded conditions. Three hierarchical control levels are commonly adopted: primary control employing local droop or voltage/current loops for immediate power sharing; secondary control restoring nominal voltage and frequency via centralised or distributed regulation; and tertiary control handling economic dispatch, demand response and energy management. Centralised schemes offer optimal coordination but may suffer single-point failures and communication delays, whereas decentralised approaches enhance reliability at the expense of global optimisation. Distributed cooperative controls, leveraging consensus algorithms, strike a balance by allowing peer-to-peer information exchange for synchronisation and load sharing. Advanced techniques such as model predictive control, sliding mode control and adaptive or intelligent controllers are increasingly applied to tackle renewable intermittency, nonlinear dynamics and rapid load changes. The global significance of microgrid control spans remote electrification, disaster resilience and integration of high renewables penetration in urban and rural contexts, underpinning practical real-world applications from island communities to industrial campuses.
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Control Strategies for Microgrid Energy Management publication trend
The graph below shows the total number of articles in control strategies for microgrid energy management across all publications each year (not limited to Nature Index journals).
Technical terms
Microgrid: A cluster of distributed energy resources, storage and loads that can operate independently or connected to the main grid.
Droop control: A primary control method that adjusts inverter output voltage or frequency in proportion to power output to share load.
Sliding mode control: A robust nonlinear control technique that drives system states onto a predefined sliding surface for stability.
Model predictive control: A control strategy using real-time optimisation of a dynamic model to anticipate future disturbances.
Consensus algorithm: A distributed protocol enabling multiple controllers to agree on system variables through local communication.
Islanded operation: The condition in which a microgrid operates autonomously without connection to the main power network.
References
- Robust backstepping global integral terminal sliding mode controller to enhance dynamic stability of hybrid AC/DC microgrids. Protection and Control of Modern Power Systems (2023).
- DC Microgrid Planning, Operation, and Control: A Comprehensive Review. IEEE Access (2021).
- Distributed Control Strategies for Microgrids: An Overview. IEEE Access (2020).
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