Matthew Milton
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Matthew Milton has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Andrea Benigni
Institute of Climate and Energy Systems: Energy Systems Engineering (ICE-1), Forschungszentrum Jülich
2 shared publications - Herbert Luther Ginn
University of South Carolina
2 shared publications - Andrea Benigni
University of South Carolina, columbia, South Carolina United States 29208
1 shared publication - Antonello Monti
Fraunhofer Institute for Applied Information Technology
1 shared publication - Castulo Aaron De La O
ELECTRICAL ENGINEERING, University of South Carolina, 2629 Columbia, South Carolina United States 29208-0001 ( cdelao@.sc.edu)
1 shared publication - Michele Difronzo
University of South Carolina,Columbia,SC,USA,29208
1 shared publication
Latest Publications
- Open Access
System Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs
In this paper we present an approach for real-time simulation and Hardware-in-the-Loop (HIL) testing of Modular Multilevel Converters (MMCs) that rely on switching models while supporting system level analysis. Using the Latency Based Linear Multistep Compound (LB-LMC) approach, we achieved a 50 ns simulation time step for systems composed of several MMC converters and for converters of various complexity. To facilitate system level testing, we introduce the use of a serial communication-based (Aurora) interface for HIL testing of MMC converters and we analyzed the effect that communication latency has on the accuracy of the HIL test. The simulation and HIL results are validated against an MMC laboratory prototype.
Open AccessSystem Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs
In this paper we present an approach for real-time simulation and Hardware-in-the-Loop (HIL) testing of Modular Multilevel Converters (MMCs) that rely on switching models while supporting system level analysis. Using the Latency Based Linear Multistep Compound (LB-LMC) approach, we achieved a 50 ns simulation time step for systems composed of several MMC converters and for converters of various complexity. To facilitate system level testing, we introduce the use of a serial communication-based (Aurora) interface for HIL testing of MMC converters and we analyzed the effect that communication latency has on the accuracy of the HIL test. The simulation and HIL results are validated against an MMC laboratory prototype.
- Top Cited Papers
- 5 February 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Electronics
- Vol. 35 (9) , 9850-9864
Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics
In this paper, a novel approach for real-time, probabilistic digital twinning is proposed for the online diagnostic analysis of power electronic converters. Under this approach, a digital twin of a power converter is defined as a real-time probabilistic simulation model with stochastic (random) variables, the model divided up in terms of control layers for converter subsystems, and developed using generalized Polynomial Chaos Expansion (PCE). Real-time executed solvers of these divided probabilistic digital twin models are embedded into power converter controllers running on FPGA devices. Using a monitoring system, these digital twins and the power converter are compared by the power converter controller to determine if the converter is operating within probable behavior. Knowing the large computational cost of probabilistic modeling, the resource usage and timing of this real-time digital twin approach on modern FPGAs is reported for common converter topologies, showing the approach is feasible and able to perform probabilistic real-time simulation of smaller power converters in perspective of control layers using $\leq 2\mu s$ time steps, with as low as $70ns$ steps. To highlight the potential of the proposed approach, a case study is presented using a probabilistic digital twin in the controller of a pair of converters under HIL testing.- 5 February 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Electronics
- Vol. 35 (9) , 9850-9864
Top Cited PapersController-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics
In this paper, a novel approach for real-time, probabilistic digital twinning is proposed for the online diagnostic analysis of power electronic converters. Under this approach, a digital twin of a power converter is defined as a real-time probabilistic simulation model with stochastic (random) variables, the model divided up in terms of control layers for converter subsystems, and developed using generalized Polynomial Chaos Expansion (PCE). Real-time executed solvers of these divided probabilistic digital twin models are embedded into power converter controllers running on FPGA devices. Using a monitoring system, these digital twins and the power converter are compared by the power converter controller to determine if the converter is operating within probable behavior. Knowing the large computational cost of probabilistic modeling, the resource usage and timing of this real-time digital twin approach on modern FPGAs is reported for common converter topologies, showing the approach is feasible and able to perform probabilistic real-time simulation of smaller power converters in perspective of control layers using $\leq 2\mu s$ time steps, with as low as $70ns$ steps. To highlight the potential of the proposed approach, a case study is presented using a probabilistic digital twin in the controller of a pair of converters under HIL testing. - 2 September 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Conversion
- Vol. 34 (4) , 2198-2208
Real-Time Multi-FPGA Simulation of Energy Conversion Systems
In this paper we present a solution for real-time multi-FPGA simulation of energy conversion systems based on the Latency-Based Linear Multistep Compound (LB-LMC) simulation approach. The approach relies on a nodal decomposition approach derived from multiport network analysis, and fast parallel communication between Field Programmable Gate Array (FPGA) devices. The results presented in this paper – using a microgrid example – demonstrate how the developed real-time platform overcame the resource scalability limit of single FPGA solvers while achieving a time step size of 100 nanoseconds.
- 2 September 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Conversion
- Vol. 34 (4) , 2198-2208
Real-Time Multi-FPGA Simulation of Energy Conversion Systems
In this paper we present a solution for real-time multi-FPGA simulation of energy conversion systems based on the Latency-Based Linear Multistep Compound (LB-LMC) simulation approach. The approach relies on a nodal decomposition approach derived from multiport network analysis, and fast parallel communication between Field Programmable Gate Array (FPGA) devices. The results presented in this paper – using a microgrid example – demonstrate how the developed real-time platform overcame the resource scalability limit of single FPGA solvers while achieving a time step size of 100 nanoseconds.