Power hardware-in-the-loop (PHIL) simulation combines the advantages of digital and physical simulations, which is an effective method to study and analyse modular multi-level-converter-based high-voltage direct curre...
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Power hardware-in-the-loop (PHIL) simulation combines the advantages of digital and physical simulations, which is an effective method to study and analyse modular multi-level-converter-based high-voltage direct current (MMC-HVDC) technology. For the damping impedance method (dim) interfacealgorithm, a real-time impedance matching method is proposed to improve the stability and accuracy of the PHIL simulation system. The equivalent impedance between the power interface and the MMC converter station is calculated according to the voltage difference and current between them, and the equivalent impedance parameters of MMC, in both de-blocking and blocking modes, are obtained by the Thevenin equivalent models;then the information of the hardware under test impedance is used to update the dim interface algorithm. In addition, a compensation control method for interface delay is used to reduce the system error. The excellent performance of stability and accuracy is verified by digital simulation results, which show that the proposed dim interface algorithm is able to keep the PHIL simulation system stable under different kinds of disturbances and the maximum relative error of the active power <1.2%.
Power hardware-in-the-loop (PHIL) simulation techniques are being increasingly applied in the power system field for novel equipment testing and validation. To ensure the accuracy and stability of the overall simulati...
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ISBN:
(纸本)9781479923250
Power hardware-in-the-loop (PHIL) simulation techniques are being increasingly applied in the power system field for novel equipment testing and validation. To ensure the accuracy and stability of the overall simulation, special care must be taken in the control of the virtual power interface between the hardware under test and software simulated system. The application of wideband system identification techniques to the Damping Impedance Method (dim) interfacealgorithm is investigated in this paper. Knowledge of the hardware under test impedance over a wide frequency range improves the simulation accuracy and ensures interface stability under dynamic and transient conditions. A small-signal, white noise perturbation is injected into the hardware under test using the switching converter acting as the power interface between software and hardware. Cross correlation methods are then used to construct a wideband estimation of the hardware impedance. This information is used to update the interfacealgorithm and guarantee simulation accuracy and stability. Simulation results are provided for two PHIL test scenarios, demonstrating the improvements afforded by the augmented diminterface. In each case, initial mismatch between a model of the hardware under test and the actual component degrades the performance and stability of the PHIL interface. Employment of the proposed identification technique to update the interface controller mitigates stability issues and improves the simulation accuracy.
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