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In this paper we introduce an approach to accelerate many-scenario (i.e., hundreds to thousands) power system simulations which is based on a highly scalable and flexible open-source software environment. In this approach, the parallel execution of simulations follows the single program, multiple data (SPMD) paradigm, where the dynamic simulation program is executed in parallel and takes different inputs to generate different scenarios. The power system is modeled using an existing Modelica library and compiled to a simulation executable using the OpenModelica Compiler. Furthermore, the parallel simulation is performed with the aid of a message-passing interface (MPI) and the approach includes dynamic workload balancing. Finally, benchmarks with the simulation environment are performed on high-performance computing (HPC) clusters with four test cases. The results show high scalability and a considerable parallel speedup of the proposed approach in the simulation of all scenarios.
Junjie Zhang; Lukas Razik; Sigurd Jakobsen; Salvatore D’Arco; Andrea Benigni. An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters. Electronics 2021, 10, 1330 .
AMA StyleJunjie Zhang, Lukas Razik, Sigurd Jakobsen, Salvatore D’Arco, Andrea Benigni. An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters. Electronics. 2021; 10 (11):1330.
Chicago/Turabian StyleJunjie Zhang; Lukas Razik; Sigurd Jakobsen; Salvatore D’Arco; Andrea Benigni. 2021. "An Open-Source Many-Scenario Approach for Power System Dynamic Simulation on HPC Clusters." Electronics 10, no. 11: 1330.
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.
Michele Difronzo; Multan Biswas; Matthew Milton; Herbert Ginn; Andrea Benigni. System Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs. Energies 2021, 14, 3046 .
AMA StyleMichele Difronzo, Multan Biswas, Matthew Milton, Herbert Ginn, Andrea Benigni. System Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs. Energies. 2021; 14 (11):3046.
Chicago/Turabian StyleMichele Difronzo; Multan Biswas; Matthew Milton; Herbert Ginn; Andrea Benigni. 2021. "System Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs." Energies 14, no. 11: 3046.
The solver code generation tools of the Open Real-Time Simulation (ORTiS) framework are a C++ library and CLI tool designed to create real-time simulation solvers for power electronics systems. These C++ defined solvers – generated by the tools – support high level synthesis to HDL, enabling the implementation of FPGA solvers capable of nanosecond resolution in real-time. The ORTiS Solver Codegen tools support the creation of multi-FPGA solvers and the use of user-defined power electronic component models; system level models are described by netlists. These tools enable engineers to perform hardware-in-the-loop testing of power electronic systems with high frequency dynamics, using time steps as small as 35 nanoseconds.
Matthew Milton; Andrea Benigni. ORTiS solver codegen: C++ code generation tools for high performance, FPGA-based, real-time simulation of power electronic systems. SoftwareX 2021, 13, 100660 .
AMA StyleMatthew Milton, Andrea Benigni. ORTiS solver codegen: C++ code generation tools for high performance, FPGA-based, real-time simulation of power electronic systems. SoftwareX. 2021; 13 ():100660.
Chicago/Turabian StyleMatthew Milton; Andrea Benigni. 2021. "ORTiS solver codegen: C++ code generation tools for high performance, FPGA-based, real-time simulation of power electronic systems." SoftwareX 13, no. : 100660.
Real-time (RT) simulation of power and energy conversion systems allows engineers to interface both simulation- and hardware-based controls using controller hardware-in-the-loop (CHiL) simulation of networks of power electronic converters (PECs) in order to de-risk highly developmental systems such as next generation electrified transportation systems and dc microgrids. CHiL exploration and performance verification moves a design from Technology Readiness Level (TRL) 3 to TRL 4 without incurring significant cost investments in developmental hardware platforms, which otherwise discourages such endeavors. A real-time CHiL simulation platform suitable for explorations of protective equipment, protection schemes and networked PEC dc and mixed dc-ac power distribution architectures must be capable of simulating common-mode behavior, various grounding schemes, and fault transients at sufficiently high resolution. This paper demonstrates this capability using a Latency-Based Linear Multistep Compound (LB-LMC) simulation method implemented in a commercially sustainable, adaptable and expandable FPGA-based test and instrumentation platform. The proposed CHiL platform achieves real-time power system simulations, including detailed switching commutations of networked PECs, with 50 ns resolution, and faithfully produces resonant and transient behaviors associated with line-to-ground (LG) and line-to-line (LL) faults and fault recovery in ungrounded PEC-based dc systems. This resolution in RT cannot be achieved with today’s commercial off-the-shelf CHiL platforms. This paper demonstrates the need for high resolution RT simulation of LG and LL faults within dc systems, and demonstrates a CHiL approach that enables dc protection design explorations and protective control hardware testing while taking into account the realistic aspects that affect fault characteristics in PEC-based dc systems, such as cable current rating and length, cable and PEC parasitic LG capacitance and PEC internal response to fault scenarios.
Mark Vygoder; Matthew Milton; Jacob D. Gudex; Robert M. Cuzner; Andrea Benigni. A Hardware-in-the-Loop Platform for DC Protection. IEEE Journal of Emerging and Selected Topics in Power Electronics 2020, 9, 2605 -2619.
AMA StyleMark Vygoder, Matthew Milton, Jacob D. Gudex, Robert M. Cuzner, Andrea Benigni. A Hardware-in-the-Loop Platform for DC Protection. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2020; 9 (3):2605-2619.
Chicago/Turabian StyleMark Vygoder; Matthew Milton; Jacob D. Gudex; Robert M. Cuzner; Andrea Benigni. 2020. "A Hardware-in-the-Loop Platform for DC Protection." IEEE Journal of Emerging and Selected Topics in Power Electronics 9, no. 3: 2605-2619.
One can define an energy system as a system that converts one or more energy fluxes into other energy fluxes of a different kind. This definition may describe a relatively small system, for instance, a power plant, a chemical plant, or the heating and cooling apparatus of a single-family house, as well as one covering larger energy needs, for example, those of a city, a country, or even a continent. As energy systems are developed through the centuries, the way we structure these systems goes through changes affected by contextual conditions. Recently, concerns about the availability of traditional fossil energy sources and their environmental effects are revolutionizing the way energy systems are planned, designed, and operated.
Andrea Benigni; Thomas Strasser; Giovanni De Carne; Marco Liserre; Marco Cupelli; Antonello Monti. Real-Time Simulation-Based Testing of Modern Energy Systems: A Review and Discussion. IEEE Industrial Electronics Magazine 2020, 14, 28 -39.
AMA StyleAndrea Benigni, Thomas Strasser, Giovanni De Carne, Marco Liserre, Marco Cupelli, Antonello Monti. Real-Time Simulation-Based Testing of Modern Energy Systems: A Review and Discussion. IEEE Industrial Electronics Magazine. 2020; 14 (2):28-39.
Chicago/Turabian StyleAndrea Benigni; Thomas Strasser; Giovanni De Carne; Marco Liserre; Marco Cupelli; Antonello Monti. 2020. "Real-Time Simulation-Based Testing of Modern Energy Systems: A Review and Discussion." IEEE Industrial Electronics Magazine 14, no. 2: 28-39.
This paper presents a protection scheme for DC power distribution systems based on a unique rate-limited operating mode. The concept of this protection scheme is that extremely slow ramp-rate limits can be imposed on the DC network voltage and on all currents drawn from the network through control of the power electronic interfaces. Meanwhile, all fast transients produced by loads and DGs can be absorbed by local energy storage—typically a battery—behind the interface converter. The removal of all transients from the distribution network enables a very effective method to differentiate normal operation from fault conditions, including high-impedance faults such as vegetation faults and human-body faults. In the proposed scheme, the ramprates of the current and voltage on the network are sensed by each interfaced converter to check for compliance with the defined rate limits. It is unlikely that a given fault on the network will comply with the stringently slow rate limits, so this scheme allows the system to quickly detect the fault and deploy suitable protections. Experimental results show that the presented protection scheme is capable of detecting and interrupting a human-body-impedance fault quickly enough to prevent electrocution on a DC distribution cable operating at voltages of 1000 V and above, leading to unprecedented safety on a power distribution network of this voltage level.
Andrew S. Wunderlich; Daniel Bauer; Enrico Santi; Roger A. Dougal; Andrea Benigni; Rob Bennett; Luis E. Zubieta. Protection Scheme for Fast Detection and Interruption of High-Impedance Faults on Rate-Limited DC Distribution Networks. IEEE Journal of Emerging and Selected Topics in Power Electronics 2020, 9, 2540 -2549.
AMA StyleAndrew S. Wunderlich, Daniel Bauer, Enrico Santi, Roger A. Dougal, Andrea Benigni, Rob Bennett, Luis E. Zubieta. Protection Scheme for Fast Detection and Interruption of High-Impedance Faults on Rate-Limited DC Distribution Networks. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2020; 9 (3):2540-2549.
Chicago/Turabian StyleAndrew S. Wunderlich; Daniel Bauer; Enrico Santi; Roger A. Dougal; Andrea Benigni; Rob Bennett; Luis E. Zubieta. 2020. "Protection Scheme for Fast Detection and Interruption of High-Impedance Faults on Rate-Limited DC Distribution Networks." IEEE Journal of Emerging and Selected Topics in Power Electronics 9, no. 3: 2540-2549.
This paper provides a simple low-level unidirectional global communication method for DC microgrids, and requires no hardware modifications to the microgrid and interfacing power electronic converters. The underlying premise to this communication method is injecting low-frequency low-voltage sinusoidal components into the DC microgrid power lines. This method deviates from the common bit-level communication scheme by relating parameters and commands with certain frequency components. Communication structures are included as a basis for communication protocols, and a detection method is proposed for detecting the injected frequencies. The injection method, communication structure, and detection method are implemented on a live-scale DC microgrid.
Matthew Davidson; Andrea Benigni. Low Frequency Injection as a Method of Low-Level DC Microgrid Communication. Energies 2020, 13, 2452 .
AMA StyleMatthew Davidson, Andrea Benigni. Low Frequency Injection as a Method of Low-Level DC Microgrid Communication. Energies. 2020; 13 (10):2452.
Chicago/Turabian StyleMatthew Davidson; Andrea Benigni. 2020. "Low Frequency Injection as a Method of Low-Level DC Microgrid Communication." Energies 13, no. 10: 2452.
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.
Matthew Milton; Castulo Aaron De La O; Herbert Luther Ginn; Andrea Benigni. Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics. IEEE Transactions on Power Electronics 2020, 35, 9850 -9864.
AMA StyleMatthew Milton, Castulo Aaron De La O, Herbert Luther Ginn, Andrea Benigni. Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics. IEEE Transactions on Power Electronics. 2020; 35 (9):9850-9864.
Chicago/Turabian StyleMatthew Milton; Castulo Aaron De La O; Herbert Luther Ginn; Andrea Benigni. 2020. "Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics." IEEE Transactions on Power Electronics 35, no. 9: 9850-9864.
This article investigates the problem of measurement selection for data-driven monitoring approaches. Several approaches to input variable selection (IVS) are analyzed, and a general procedure for finding the optimal order for the selection of candidate measurements is presented. The method is based on the extensions of partial correlation and minimal redundancy maximum relevance criteria to support IVS problems involving multiple outputs. This method can be used to find the minimal set of measurements for achieving a target estimation accuracy. The results demonstrate the advantages and limits of the introduced method in comparison to the other approaches discussed in this article.
Mohsen Ferdowsi; Andrea Benigni; Antonello Monti; Ferdinanda Ponci. Measurement Selection for Data-Driven Monitoring of Distribution Systems. IEEE Systems Journal 2019, 13, 4260 -4268.
AMA StyleMohsen Ferdowsi, Andrea Benigni, Antonello Monti, Ferdinanda Ponci. Measurement Selection for Data-Driven Monitoring of Distribution Systems. IEEE Systems Journal. 2019; 13 (4):4260-4268.
Chicago/Turabian StyleMohsen Ferdowsi; Andrea Benigni; Antonello Monti; Ferdinanda Ponci. 2019. "Measurement Selection for Data-Driven Monitoring of Distribution Systems." IEEE Systems Journal 13, no. 4: 4260-4268.
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.
Matthew Milton; Andrea Benigni; Antonello Monti. Real-Time Multi-FPGA Simulation of Energy Conversion Systems. IEEE Transactions on Energy Conversion 2019, 34, 2198 -2208.
AMA StyleMatthew Milton, Andrea Benigni, Antonello Monti. Real-Time Multi-FPGA Simulation of Energy Conversion Systems. IEEE Transactions on Energy Conversion. 2019; 34 (4):2198-2208.
Chicago/Turabian StyleMatthew Milton; Andrea Benigni; Antonello Monti. 2019. "Real-Time Multi-FPGA Simulation of Energy Conversion Systems." IEEE Transactions on Energy Conversion 34, no. 4: 2198-2208.
In this paper, we present a decentralized load estimation approach to support real-time volt/var optimization in distribution networks with high penetration of distributed generation. The decentralized load estimation scheme relies on local information and on a limited amount of information from neighbor areas. We defined a procedure for measurement selection and feeder partitioning so as to limit communication needs and allow prioritizing the estimation accuracy for selected loads. The measurement selection and feeder partitioning methods are based on the mutual information and minimum-redundancy-maximum-relevance concepts. We tested the proposed approach with a modified radial IEEE 34-node test feeder and a weakly meshed IEEE 123-node test feeder. The effectiveness of the method is validated using a hardware-in-the-loop simulation platform.
Yan Chen; Maria Grazia Fadda; Andrea Benigni. Decentralized Load Estimation for Distribution Systems Using Artificial Neural Networks. IEEE Transactions on Instrumentation and Measurement 2019, 68, 1333 -1342.
AMA StyleYan Chen, Maria Grazia Fadda, Andrea Benigni. Decentralized Load Estimation for Distribution Systems Using Artificial Neural Networks. IEEE Transactions on Instrumentation and Measurement. 2019; 68 (5):1333-1342.
Chicago/Turabian StyleYan Chen; Maria Grazia Fadda; Andrea Benigni. 2019. "Decentralized Load Estimation for Distribution Systems Using Artificial Neural Networks." IEEE Transactions on Instrumentation and Measurement 68, no. 5: 1333-1342.
Y. Chen; M. Strothers; A. Benigni. All-day coordinated optimal scheduling in distribution grids with PV penetration. Electric Power Systems Research 2018, 164, 112 -122.
AMA StyleY. Chen, M. Strothers, A. Benigni. All-day coordinated optimal scheduling in distribution grids with PV penetration. Electric Power Systems Research. 2018; 164 ():112-122.
Chicago/Turabian StyleY. Chen; M. Strothers; A. Benigni. 2018. "All-day coordinated optimal scheduling in distribution grids with PV penetration." Electric Power Systems Research 164, no. : 112-122.
In this paper we present a decentralized state estimation method to support real-time Volt/Var optimization in distribution network with high penetration of distributed generation. The network is divided into sub-areas according to the location of the generation units and the mutual information (MI) between the states of interest and the available measurements. The proposed decentralized state estimation scheme only relies on local information and on a limited amount of information from neighboring areas. In each area, an artificial neural network (ANN) is used to estimate the loads consumptions. The proposed approach is tested using a modified IEEE 34-node test feeder. The effectiveness of the method is validated on a Hardware-In-the-Loop (HIL) simulation platform. To evaluate the accuracy and efficiency of the proposed decentralized approach we compared the results obtained to a centralized and a totally local approach.
Yan Chen; Maria G. Fadda; Andrea Benigni. Decentralized state estimation for distribution systems using artificial neural network. 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2018, 1 -6.
AMA StyleYan Chen, Maria G. Fadda, Andrea Benigni. Decentralized state estimation for distribution systems using artificial neural network. 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). 2018; ():1-6.
Chicago/Turabian StyleYan Chen; Maria G. Fadda; Andrea Benigni. 2018. "Decentralized state estimation for distribution systems using artificial neural network." 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) , no. : 1-6.
This paper presents a two-stage optimization approach to mitigate the rapid voltage fluctuations and minimize the power losses of distribution systems due to the high penetration of photovoltaic (PV) generation. The first stage is a day-ahead optimal strategy which aims to minimize the total voltage deviations and power losses within the constraints of the daily maximum allowable number of operations of the on-load tap changers (OLTCs) and shunt capacitors (SCs). The second stage is a real-time inverter reactive power control to compensate for the uncertainties of PV output and load demand. As a part of the real-time control, an artificial neural network (ANN) approach is used to estimate the system states. In both stages, the optimization problems are formulated as nonlinear optimization problems and solved with direct search algorithms. The real-time optimization method is tested using a Hardware-In-the-Loop (HIL) simulation platform. A modified IEEE 34-node test feeder is applied to demonstrate the effectiveness of the proposed approach.
Y. Chen; B. Luckey; J. Wigmore; M. Davidson; A. Benigni. Real-time volt/var optimization for distribution systems with photovoltaic integration. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017, 2658 -2663.
AMA StyleY. Chen, B. Luckey, J. Wigmore, M. Davidson, A. Benigni. Real-time volt/var optimization for distribution systems with photovoltaic integration. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2017; ():2658-2663.
Chicago/Turabian StyleY. Chen; B. Luckey; J. Wigmore; M. Davidson; A. Benigni. 2017. "Real-time volt/var optimization for distribution systems with photovoltaic integration." IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society , no. : 2658-2663.
In this paper, we demonstrate how latency insertion method (LIM) can be used for real-time simulation of high switching frequency power electronics systems and how this approach can be implemented for scalable Field Programmable Gate Array (FPGA) execution. We first present a summary of the LIM and how this method can be developed into a solver for high-performance FPGA execution. We then present how common power electronics topologies-buck and boost-can be modeled using the LIM approach, followed by how the LIM model of a three-phase dc/ac converter is created. Afterward, we demonstrate the accuracy of the developed FPGA solver through a set of power electronic system examples, with each example compared with near ideal results of same example provided by a traditional electromagnetic transient type solver. We complete the paper analyzing the scalability of the proposed approach on FPGA devices, both in terms of achievable time step as well as of resource usage.
Matthew Milton; Andrea Benigni. Latency Insertion Method Based Real-Time Simulation of Power Electronic Systems. IEEE Transactions on Power Electronics 2017, 33, 7166 -7177.
AMA StyleMatthew Milton, Andrea Benigni. Latency Insertion Method Based Real-Time Simulation of Power Electronic Systems. IEEE Transactions on Power Electronics. 2017; 33 (8):7166-7177.
Chicago/Turabian StyleMatthew Milton; Andrea Benigni. 2017. "Latency Insertion Method Based Real-Time Simulation of Power Electronic Systems." IEEE Transactions on Power Electronics 33, no. 8: 7166-7177.
In this paper, an approach to perform model reduction of distribution grids for phasor measurement unit (PMU)-based state estimation (SE) purposes is presented. The method is based on ac load flow equations. An arbitrary number of lines and nodes can be selected and reduced to an equivalent one. The performance of the method is tested using the IEEE34 and IEEE123 test cases. An evaluation of the computational performance of the SE process is also reported. To conclude, the SE process based on the reduced model is tested against uncertainty in the parameters of the system and in the measurements so to evaluate how the performance of the SE is deteriorated by these phenomena.
Daniele Carta; Andrea Benigni; Carlo Muscas. Model Order Reduction for PMU-Based State Estimation in Distribution Grids. IEEE Systems Journal 2017, 12, 2711 -2720.
AMA StyleDaniele Carta, Andrea Benigni, Carlo Muscas. Model Order Reduction for PMU-Based State Estimation in Distribution Grids. IEEE Systems Journal. 2017; 12 (3):2711-2720.
Chicago/Turabian StyleDaniele Carta; Andrea Benigni; Carlo Muscas. 2017. "Model Order Reduction for PMU-Based State Estimation in Distribution Grids." IEEE Systems Journal 12, no. 3: 2711-2720.
In this paper we present a scalable approach for real-time simulation of ship power systems with high-frequency power electronics converters (100-200kHz). The proposed approach is based on the Latency Based Linear Multi-step Compound Method (LB-LMC) and relies on FPGA execution. Several examples of increasing dimension and complexity are used to evaluate the scalability—both of in terms of computational delay and of resources usage — of the proposed approach. Real-time execution with a 50ns time step is achieved for all the examples considered.
Matthew Milton; Andrea Benigni; Jason Bakos. System-Level, FPGA-Based, Real-Time Simulation of Ship Power Systems. IEEE Transactions on Energy Conversion 2017, 32, 737 -747.
AMA StyleMatthew Milton, Andrea Benigni, Jason Bakos. System-Level, FPGA-Based, Real-Time Simulation of Ship Power Systems. IEEE Transactions on Energy Conversion. 2017; 32 (2):737-747.
Chicago/Turabian StyleMatthew Milton; Andrea Benigni; Jason Bakos. 2017. "System-Level, FPGA-Based, Real-Time Simulation of Ship Power Systems." IEEE Transactions on Energy Conversion 32, no. 2: 737-747.
In this paper, we present a day-ahead optimal scheduling for reactive power of PV inverters and tap position of on-load tap changer (OLTC) in distribution network. We used a pattern search optimization algorithm based on the forecasted load demand and PVs active power generation. While the objective is to minimize the node voltage deviation and network losses, the maximum number of tap operation is maintained in a predefined limit. A modified IEEE 34 node test feeder is used to demonstrate the applicability and effectiveness of the proposed scheduling approach. A stochastic analysis is presented to show the performance of the proposed optimal scheduling in the presence of forecast errors of the PV generation and load demand.
Yan Chen; Michael Strothers; Andrea Benigni. Day-ahead optimal scheduling of PV inverters and OLTC in distribution feeders. 2016 IEEE Power and Energy Society General Meeting (PESGM) 2016, 1 -5.
AMA StyleYan Chen, Michael Strothers, Andrea Benigni. Day-ahead optimal scheduling of PV inverters and OLTC in distribution feeders. 2016 IEEE Power and Energy Society General Meeting (PESGM). 2016; ():1-5.
Chicago/Turabian StyleYan Chen; Michael Strothers; Andrea Benigni. 2016. "Day-ahead optimal scheduling of PV inverters and OLTC in distribution feeders." 2016 IEEE Power and Energy Society General Meeting (PESGM) , no. : 1-5.
Distribution systems are being challenged by voltage fluctuation due to the increasing penetration of distributed photovoltaic generation. In this paper, a stochastic approach based on kernel density estimation is proposed to identify the optimal location for the PV plant installation in distribution systems so that the voltage deviation and network losses are minimized. In order to demonstrate the effectiveness of the proposed method, the model of a real distribution feeder has been used. The feeder is located in Walterboro, SC, USA, which is composed of 38-bus and includes a photovoltaic plant. The simulation model has been validated against field measurement so that the simulation results of the proposed stochastic method are reliable and realistic.
Yan Chen; Michael Strothers; Andrea Benigni. A stochastic approach to optimum placement of photovoltaic generation in distribution feeder. 2016 Clemson University Power Systems Conference (PSC) 2016, 1 -7.
AMA StyleYan Chen, Michael Strothers, Andrea Benigni. A stochastic approach to optimum placement of photovoltaic generation in distribution feeder. 2016 Clemson University Power Systems Conference (PSC). 2016; ():1-7.
Chicago/Turabian StyleYan Chen; Michael Strothers; Andrea Benigni. 2016. "A stochastic approach to optimum placement of photovoltaic generation in distribution feeder." 2016 Clemson University Power Systems Conference (PSC) , no. : 1-7.
Simulation has become an indispensable support in the design process. This is particularly evident in the design of complex, multidomain, and multiphysics systems. In these cases in particular, though, the setup of the scheme to be simulated is a challenge in itself. In this paper, we propose an approach to the selection of the right level of detail of the models given the design objectives. This method is based on stochastic analysis and the results are lumped in indices that allow for a ranking of available models of each component. In detail, the main contribution is the formalization of a method to describe difference between different models of the same component. A case study is proposed to demonstrate the concept via the design of the overcurrent protection of an induction machine.
A. Benigni; F. Ponci; A. Monti. Toward an Uncertainty-Based Model Level Selection for the Simulation of Complex Power Systems. IEEE Systems Journal 2012, 6, 564 -574.
AMA StyleA. Benigni, F. Ponci, A. Monti. Toward an Uncertainty-Based Model Level Selection for the Simulation of Complex Power Systems. IEEE Systems Journal. 2012; 6 (3):564-574.
Chicago/Turabian StyleA. Benigni; F. Ponci; A. Monti. 2012. "Toward an Uncertainty-Based Model Level Selection for the Simulation of Complex Power Systems." IEEE Systems Journal 6, no. 3: 564-574.