This paper focuses on the problem of load frequency control and sensor fault-tolerant control in the multiarea power grid. To solve these problems, a sliding mode control strategy based on an interval observer is designed. First, an interval observer is designed to obtain the boundary estimation information of the system state online, which is used to reconstruct the load disturbance online. Based on the reconstructed values, an integral sliding mode controller is designed to keep the system frequency stable when the load is disturbed. Then, sensor fault is diagnosed by interval residual. An augmented observer is designed to estimate sensor fault online by equivalent transformation, and the sensor fault is compensated by the fault estimation to reduce the influence of fault on system performance and ensure the reliable and stable operation of the power system. The simulation results show the superiority of the proposed control strategy.
It is crucial for a hydropower station to operate smoothly in a safety and steady way. In this paper, we explore the current development trend and intelligent control theory of hydropower control system. The mathematical expressions are set up here for the system hardware and software, respectively. An integrated model was also developed for servo system of each mathematical model linear combination, which lays a theoretical foundation for model identification of hydropower units; this paper introduces the neural network and the fuzzy control theories and analyzes the BP and RBF network structures and identification simulation. The experimental results show that the RBF network can improve the iterative efficiency, speed up the analysis and identification, and avoid sluggish condition of global approximation convergence. The fuzzy control rule for PID controller is optimized as a result the Fuzzy PID control may speed up the adjustment, and increase the speed at which the system tends to be stable, provided that the system stability is ensured. It, therefore, contributes the most to the safety of the power grid.
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