Abstract
Power hardware-in-the-loop (PHIL) technology allows for the testing of physical equipment in a real-time simulation environment. An important role is attributed to the power interface (PI). This PI connects a power system model, which is implemented on a digital computer, to physical hardware under test, such as a power electronic converter. Several hardware-in-the-loop (HIL) test setups with distinct PIs are proposed and compared. Based on detailed modeling of the different interfaces, system analysis is performed for each HIL test setup with respect to overall stability and accuracy. To verify stability for PHIL simulation systems, transfer function representations of the entire PHIL simulation processes are developed, and all involved time delays are quantified. The Nyquist stability criterion is applied to analyze all considered interfacing methods to enhance PHIL simulation stability, and the accuracy is evaluated. Moreover, experimental test results are given to demonstrate both the applicability and the functioning of the proposed interfacing methods. A particular focus is laid on the interfacing of physical power electronic inverters tested as part of a network in a PHIL real-time simulation.
Highlights
T HE STRUCTURE and architecture of electric power systems has changed significantly in recent years
Real-time simulation and in particular power hardware-in-the-loop (PHIL) simulation have already been applied for the validation and testing of system behavior, closely emulating the behavior of power electric and electronic systems [5]–[14]
As a review of the state of the art in PHIL simulation, the well-known hardware inductance addition (HIA) method and the feedback current filtering (FCF) method are discussed in Sections III-A and III-B
Summary
T HE STRUCTURE and architecture of electric power systems has changed significantly in recent years. In comparison with other existing stabilization methods [15], [16], the proposed techniques show enhancements related to the achievable overall bandwidth The latter translates into an increased accuracy and better system stability when evaluating power hardware in electric networks during fast transients. All involved time delays and phase shifts as well as modifications of the amplitude are to be captured accurately Details on this approach, resulting in models and block diagrams for interfaces, software systems, and hardware systems are given in [17]. The determination of the absolute error between respective PHIL simulation systems and the ideal system may be used for accuracy analysis
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