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In practice, power systems use simple proportional-integral (PI) controllers for frequency regulation and load tracking.
Furthermore, the DG units with relatively slow response have insufficient dynamic performance in terms of load tracking [6].
Heat management and load tracking are two crucial tasks for solid oxide fuel cell (SOFC) systems development.
In literature, plenty of temperature controllers and load tracking controllers have been successfully designed for SOFC systems.
Load tracking in pressurized water reactor (PWR) nuclear power plants has nowadays attracted comprehensive attention for the security concerns.
A sensitivity analysis is used to show that increasing the forecasting and optimization horizon improves load tracking with diminishing returns.
In this paper, an adaptive robust H-infinity control scheme is proposed to achieve both the load tracking and multi-motor synchronization of MMS.
For solid oxide fuel cell (SOFC) development, load tracking, heat management, air excess ratio constraint, high efficiency, low cost and fault diagnosis are six key issues.
Compared with the currently used Proportional-Integral-Derivative (PID) control method, the effectiveness of the proposed QP-based MPC (QPMPC) method for load tracking is verified by numerical simulations.
In this paper, a novel state space model of the reactor core with multiple groups of delayed neutrons considered is developed, and a model predictive control (MPC) method is proposed for load tracking.
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