Dynamic Control Strategies in Thermal Power Generation

Thermal power generation remains a cornerstone of global energy systems, yet its future viability hinges on the ability to operate flexibly and reliably in an environment dominated by variable renewable input. Dynamic control strategies address the need to adjust output rapidly in response to grid signals, while respecting stringent constraints on equipment stress, emissions and efficiency. Centralised and decentralised control architectures integrate predictive models of boiler, turbine and feedwater systems to anticipate transient behaviours during start-ups, shut-downs and load ramps. Coordinated Control Systems synchronise multiple regulatory loops to manage main steam pressure, reheat temperature and feedwater flow, whereas advanced strategies such as model predictive control (MPC) incorporate thermal stress and material fatigue limits as hard constraints. Data-driven and hybrid modelling techniques, drawing on industry 4.0 analytics and digital twins, enhance fault detection and optimise set-point trajectories. Through such approaches, supercritical and ultra-supercritical units achieve tighter control of ramp rates, reduced cycling damage and improved responsiveness to grid demands, ultimately enabling thermal plants to deliver balancing services without compromising long-term reliability or efficiency.

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Dynamic Control Strategies in Thermal Power Generation publication trend

The graph below shows the total number of articles in dynamic control strategies in thermal power generation across all publications each year (not limited to Nature Index journals).

Technical terms

Load-following: The capability of a power plant to adjust its electricity output rapidly in response to changes in grid demand or intermittent supply.

Model Predictive Control (MPC): An optimisation-based control technique that uses a dynamic process model to forecast future plant behaviour and compute control actions subject to constraints.

Coordinated Control System (CCS): A hierarchical control layer that links multiple regulatory loops to manage interdependent process variables in a unified framework.

Feedwater Bypass: A strategy in which a portion of feedwater is diverted around the economiser to accelerate temperature response and enhance ramping capability.

Thermal Stress: Mechanical stress induced in materials by temperature gradients, particularly critical during rapid changes in operating conditions.

References

1. Development of a Dynamic Model and Control System for Load-Following Studies of Supercritical Pulverized Coal Power Plants. Processes (2018).
2. Optimal control of flexible natural gas combined cycles with stress monitoring: Linear vs nonlinear model predictive control. Applied Energy (2020).
3. Flexible Electric Power Control for Coal-Fired Units by Incorporating Feedwater Bypass. IEEE Access (2019).