Skip to Main Content
Power hardware-in-the-loop (PHIL) simulations need to be accurate to truly reflect the behavior of the systems under test. However, a PHIL simulation may result in errors or even instability due to imperfections (e.g., time delay, noise injection, phase lag, and limited bandwidth) in the power interface, particularly in high-power applications. Additionally, it is usually difficult to determine the accuracy of a simulation because there is no reference available for people to know the ldquoshould-berdquo system responses in advance. Therefore, a method is demanded to predict the accuracy of PHIL simulations. In this paper, an effective method for evaluating the PHIL accuracy is proposed. This method provides a means to justify the result of a PHIL simulation analytically and quantitatively instead of empirically. While the method is based on linear system analysis, it is shown to be also applicable for nonlinear PHIL systems.