Event-Triggered Load Frequency Control in Cyber-Physical Power Systems
Summary
Maintaining the balance between electrical generation and demand is central to the secure operation of modern power grids. Load frequency control (LFC) regulates system frequency by adjusting generation set-points in response to mismatches in supply and demand. As power networks evolve into cyber-physical systems, with extensive communication and computation layers linking measurement devices, control centres and generators, there is both opportunity and risk. Continuous, time-triggered exchanges can overload communication channels and increase vulnerability to cyber-attack, whereas event-triggered schemes initiate control actions only when predefined thresholds are exceeded. This results in reduced network traffic, enhanced resilience against disturbances and maintained stability. Recent research has focused on integrating model-based estimators, adaptive thresholds and robustness guarantees—often formulated via Lyapunov methods and linear matrix inequalities—to ensure fast frequency recovery, minimise communication load and withstand malicious interference. Practical demonstrations on two-area or multi-area test systems illustrate the global significance of event-triggered LFC for grids with high penetrations of renewable energy, virtual synchronous machines and demand-side participation.
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Event-Triggered Load Frequency Control in Cyber-Physical Power Systems publication trend
The graph below shows the total number of articles in event-triggered load frequency control in cyber-physical power systems across all publications each year (not limited to Nature Index journals).
Technical terms
Event-triggered control: A control strategy that updates control actions only when a system variable crosses a specified threshold, reducing unnecessary communications.
Load frequency control (LFC): A feedback mechanism that adjusts generator outputs to maintain system frequency and scheduled power exchanges among areas.
Cyber-physical system: An integrated network of physical processes (generators, transmission lines) and computational elements (sensors, controllers, communication links).
Model predictive control: An optimisation-based control technique that predicts future plant behaviour over a finite horizon and computes control moves by solving a constrained optimisation problem.
Linear matrix inequality (LMI): A convex constraint expressed as a linear inequality in matrix form, widely used for synthesising controllers with guaranteed stability and performance.
References
- Load frequency control of power system based on improved AFSA-PSO event-triggering scheme. Frontiers in Energy Research (2023).
- Robust networked power system load frequency control against hybrid cyber attack. IET Smart Grid (2023).
- Resilient robust model predictive load frequency control for smart grids with air conditioning loads. IET Renewable Power Generation (2024).
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