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A composite sliding mode control based on the load characteristic of the permanent magnet direct-driven system is presented for a mining scraper conveyor. First, the mathematical model of a permanent magnet synchronous motor is established based on the coordinate transformation theory. Subsequently, the soft switching sliding mode observer (SS-SMO) is designed to observe the change of load torque...
The Hilbert-Huang Transform (HHT) is used for time-frequency analysis of non-stationary and non-linear signals, e.g., power signals. In this paper, we propose a fault detection method for electric power system using the HHT. The presented numerical example shows the implementation of HHT on unsymmetrical phase voltages to detect the occurrence time of a single line to ground fault at a particular...
Modular multilevel converter (MMC) is a promising topology for medium and high power applications. The MMC system consists a large number of sub-modules (SMs), which take long time to simulate. In a real-time simulator, the MMC model is optimized to have a fast simulation speed for real-time applications, such as hardware-in-the-loop (HIL) tests. The methodology to evaluate model fidelity is important...
The increased non-linear loads in today's typical home are a growing concern for utility companies. This situation might be worsened by the harmonic resonance introduced by the installation of capacitor banks in the distribution network. To mitigate the harmonic distortions, passive or active filters are typically used. However, with the increasing implementation of distributed generation (DG) in...
GM model is widely applied in many fields, in this paper, a refined GM(l,l)-improved genetic algorithm (GM(1,1)- IGA) is put forward to solve short-term load forecasting (STLF) problems in power system. Traditional GM(1,1) forecasting model is not accurate and the value of parameter a is constant, while the proposed algorithm could overcome these disadvantages. GM(1,1)-IGA established a function Z(c)...
A mathematical model known as grey model GM(1,1) has been employed successfully in the forecasting of power load system. Because traditional GM (1, 1) forecasting model is not accurate and the value of parameter alpha is constant, so this paper put forward a improved genetic algorithm - GM (1, 1) (IGA-GM (1, 1)), the proposed algorithm were used to solve the problem of short-term load forecasting...
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