Hardware-in-the-Loop optimization of the 3-phase grid connected converter controller

Adžić, Evgenije; Grabić, Stevan; Vekić, Marko; Porobic, Vlado; Celanovic, Nikola Fischer

doi:10.1109/iecon.2013.6700013

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…It should be noted that the PWM sampling step must be around one hundred times (resolution around 1%) below the switching period in order to detect accurately the switching inputs. In the literature, examples can be found from a minimum of 20 samples per input PWM period [25], to hundreds [26] or even thousands [27] of samples per period. Those times cannot be reached for the simulation step using floating-point arithmetic, and that is why both steps are very different in commercial tools.…”

Section: A Arithmetic Possibilitiesmentioning

confidence: 99%

Parametrizable Fixed-Point Arithmetic for HIL With Small Simulation Steps

Sanchez

Castro

Garrido

2019

IEEE J. Emerg. Sel. Topics Power Electron.

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HIL techniques are increasingly used for test purposes because of their advantages over classical simulations. FPGAs are becoming popular in HIL systems because of their parallel computing capabilities. In most cases, FPGAs are mainly used for signal processing like input PWM sampling and conditioning while there are also processors to model the system. However, there are other HIL systems that implement the model in the FPGA. For FPGA implementation and regarding the arithmetics, there are two main possibilities: fixed-point and floating-point. Fixed-point is the best choice only when real-time simulations with small simulation steps are needed, while floatingpoint is the common choice because of its flexibility and ease of use. This paper presents a novel hybrid arithmetic for FPGAs called parametrizable fixed-point which takes advantage of both arithmetics as the internal operations are accomplished using simple signed integers while the point location of the variables can be adjusted as necessary without redesigning the model of the plant. Experimental results show that a buck converter can be modeled using this novel arithmetic with a simulation step below 20 ns. Besides, the experiments prove that the proposed model can be adjusted to any set of values (voltages, currents, capacitances, etc.) keeping its accuracy without resynthesizing, showing the big advantage over fixed-point arithmetic.

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Section: A Arithmetic Possibilitiesmentioning

confidence: 99%

Parametrizable Fixed-Point Arithmetic for HIL With Small Simulation Steps

Sanchez

Castro

Garrido

2019

IEEE J. Emerg. Sel. Topics Power Electron.

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“…With deliberately designed network solutions and parallel computing techniques, these tools can emulate a large system with fixed time-step on a real-time basis. These allow real-time testing of the developed system controllers without having to develop a real hardware test platform [13].…”

Section: A Backgroundmentioning

confidence: 99%

Reconfigurable Real-Time Power Grid Emulator for Systems With High Penetration of Renewables

Tolbert

Wang

Tomsovic

et al. 2020

IEEE Open J. Power Energy

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Novel power system control and new utility devices need to be tested before their actual deployment to the power grid. To assist with such a testing need, real-time digital emulators such as RTDS and Opal-RT can be used to connect to the physical world and form a hardware in the loop (HIL) emulation. However, due to the limitations of today's computational resources, the accuracy and fidelity suffer from different levels of model reductions in purely digital simulations. CURENT has developed a reconfigurable electric grid hardware testbed (HTB) to overcome the limitations of digital emulators. The HTB has been used to develop measurement, control, modeling, and actuation techniques for a national grid with a high penetration of renewables. The power electronic-based system includes emulators for synchronous generators; photovoltaics with gridinterfacing inverter; wind turbines; induction motor loads, ZIP loads, power electronic loads; batteries; ac and dc transmission lines; short circuit faults and grid relay protection; and a multiterminal HVDC overlay including power electronics interfaces. The system contains real elements of power flow, measurement, communication, protection, and control that mimic what would be seen in an actual electric grid. This paper presents an overview of the HTB and several scenarios that have been run to determine control and actions needed for the future power grid.

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“…Accuracy Analysis: To describe the accuracy of the PHIL simulation without compensation, Equation (13) can be simplified to…”

Section: Description Of the Phil Platformmentioning

confidence: 99%

“…In a PHIL system, the simulated network and the HUT are both operating at a high power level [2][3][4][5]. Many simulation platforms that support PHIL simulations are commercially available [6][7][8][9][10][11][12][13][14], and such simulations have been extensively used for testing and design of distributed generation systems [15][16][17][18] and electric vehicles [19]. Moreover, PHIL systems offer several advantages over other analysis and testing methods.…”

Section: Introductionmentioning

confidence: 99%

Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method

et al. 2016

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Abstract:Power hardware-in-the-loop (PHIL) systems are advanced, real-time platforms for combined software and hardware testing. Two paramount issues in PHIL simulations are the closed-loop stability and simulation accuracy. This paper presents a virtual impedance (VI) method for PHIL simulations that improves the simulation's stability and accuracy. Through the establishment of an impedance model for a PHIL simulation circuit, which is composed of a voltage-source converter and a simple network, the stability and accuracy of the PHIL system are analyzed. Then, the proposed VI method is implemented in a digital real-time simulator and used to correct the combined impedance in the impedance model, achieving higher stability and accuracy of the results. The validity of the VI method is verified through the PHIL simulation of two typical PHIL examples.

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Hardware-in-the-Loop optimization of the 3-phase grid connected converter controller

Cited by 8 publications

References 13 publications

Parametrizable Fixed-Point Arithmetic for HIL With Small Simulation Steps

Parametrizable Fixed-Point Arithmetic for HIL With Small Simulation Steps

Reconfigurable Real-Time Power Grid Emulator for Systems With High Penetration of Renewables

Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method

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