This paper proposes two power flow control algorithms for a grid-connected voltage source converter used as part of the energy storage for a smart grid under unbalanced voltage conditions. Both algorithms are improvements of the dual vector current control algorithm (DVCC). The first proposed algorithm, DVCC_CL, optimizes the method of limiting phase currents for the duration of voltage unbalance. The second proposed algorithm, DVCC_HB, provides high bandwidth control of active and reactive power. Which of the two proposed algorithms is the better choice depends on the grid code requirements and the constraints imposed by the particular energy storage system which the inverter connects to the grid. The operation of both algorithms was verified within the framework of an ultralow-latency hardware-in-the-loop emulator, which makes accurate analysis of converter behavior safe and easy for any grid conditions. Index Terms-Current control, energy storage, hardware-inthe-loop (HIL), power control, power quality, smart grid.

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This paper proposes modified dual vector current control (DVCC) for the wind turbine application. As in case of conventional DVCC, it fulfills requirements for average unity power factor with suppressed oscillations in active power flow. However, uncontrolled increase in converter output current under unbalanced grid voltage conditions is prevented through imposing limit in its magnitude. Multilevel back-to-back converter is used in order to achieve full control of the turbine, as well as better power quality and lower torque and grid current oscillation.

This paper presents a Cyber Physical Systems approach to power electronics simulation, control and testing. We present a new framework based on generalized hybrid automaton and application specific ultra-low latency high-speed processor architecture that enables high fidelity real-time power electronics model computation. To illustrate the performance of this approach we experimentally demonstrate two extremely computationally demanding power electronics applications: real-time emulation for Hardware-in-the-Loop (HIL) testing, and hybrid system observers for fault detection and isolation

In this paper, an emulation based electrical drive laboratory for graduate and undergraduate power engineering students and practicing engineers is presented. The virtual laboratory is realized by means of Hardware‐In‐the‐Loop (HIL) system, which is increasingly recognized as an effective approach in the design of power electronics control. Control of induction motor, as the most widely used machine including main and side effects is examined. In order to perform experiments gradually, software development framework which provides modular and incremental DSP programming possibilities (from basic to advanced levels) is given. Digital controller design procedure combined with appropriate emulated power stage, and followed by experimental results is presented in detail. In addition to conventional test procedure, scripting method implemented through Application Programming Interface (API) is shown. The benefits of remote laboratory approach is described in the case of collaboration of multiple teams. The proposed approach can be used as additional or completely self‐contained tool for research and education of electrical drive control. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:264–276, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21795