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152 results on '"Benigni, Andrea"'

1. Quantum Annealing based Power Grid Partitioning for Parallel Simulation

Author

Hartmann, Carsten, Zhang, Junjie, Calaza, Carlos D. Gonzalez, Pesch, Thiemo, Michielsen, Kristel, and Benigni, Andrea

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Graph partitioning has many applications in powersystems from decentralized state estimation to parallel simulation. Focusing on parallel simulation, optimal grid partitioning minimizes the idle time caused by different simulation times for the sub-networks and their components and reduces the overhead required to simulate the cuts. Partitioning a graph into two parts such that, for example, the cut is minimal and the subgraphs have equal size is an NP-hard problem. In this paper we show how optimal partitioning of a graph can be obtained using quantum annealing (QA). We show how to map the requirements for optimal splitting to a quadratic unconstrained binary optimization (QUBO) formulation and test the proposed formulation using a current D-Wave QPU. We show that the necessity to find an embedding of the QUBO on current D-Wave QPUs limits the problem size to under 200 buses and notably affects the time-to-solution. We finally discuss the implications on near-term implementation of QA in combination to traditional CPU or GPU based simulation., Comment: 10 pages, 5 figures

Published
2024

29. On Modeling Depths of Power Electronic Circuits for Real-Time Simulation – A Comparative Analysis for Power Systems

Author

De Carne, Giovanni, Lauss, Georg, Syed, Mazheruddin H., Monti, Antonello, Benigni, Andrea, Karrari, Shahab, Kotsampopoulos, Panos, and Faruque, Md Omar

Subjects
Control systems, ddc:621.3, Integrated circuit modeling, TK, Physics, Power electronics, ddc:530, Computational modeling, Analytical models, Real-time systems, Switches, 621.3
Abstract

IEEE open access journal of power and energy 9, 76-87 (2022). doi:10.1109/OAJPE.2022.3148777, Published by IEEE, [New York, NY]

Published
2022

30. Template‐based generation of programming language specific code for smart grid modelling compliant with CIM and CGMES.

Author

Dinkelbach, Jan, Razik, Lukas, Mirz, Markus, Benigni, Andrea, and Monti, Antonello

Subjects
SMART power grids, PROGRAMMING languages, INFORMATION & communication technologies, JAVASCRIPT programming language, ENERGY consumption
Abstract

The transition to Smart Grids increases the complexity of power grids by involving many more interdependent actors and integrating additional information and communications technology. To provide a common basis for Smart Grid data representation and exchange, the standardized Common Information Model (CIM) has been introduced and extended, i. a., by the Common Grid Model Exchange Specification (CGMES). An increasing acceptance by power grid operators and other actors has made CIM and CGMES more and more relevant. However, the implementation of CIM / CGMES support in software projects appears to be challenging due to the complexity of CIM / CGMES and the ongoing standardisation process with iterative adaptations. Thus, the main contribution of this paper is the presentation of a methodology for an automated generation of programming language specific code from CIM / CGMES specifications. The approach is based on the use of a template language and enables to keep software projects fully compliant with CIM / CGMES specifications. The paper outlines the process of code generation and the consecutive codebase integration for a JavaScript based CIM / CGMES web editor and for two CIM / CGMES de‐/serialiser libraries in C++ and Python. The approach is evaluated in use cases involving the visualisation and simulation of a benchmark grid. [ABSTRACT FROM AUTHOR]

Published
2023
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41. System Level Real-Time Simulation and Hardware-in-the-Loop Testing of MMCs

Author

Difronzo, Michele, Biswas, Md Multan, Milton, Matthew, Ginn, Herbert L., and Benigni, Andrea

Subjects
Technology, real-time systems, power system simulation, switching converters, Modular Multilevel Converters (MMCs), Field Programmable Gate Arrays (FPGAs), parallel algorithms, ddc:620
Abstract

Energies : Energies : open-access journal of related scientific research, technology development and studies in policy and management 14(11), 3046 (2021). doi:10.3390/en14113046 special issue: "Special Issue "Design and Validation of Smart Energy System Concepts and Methods" / Special Issue Editors: Dr. Thomas Strasser, Guest Editor ; Prof. Dr. Sebastian Rohjans, Guest Editor ; Prof. Dr. Graeme Burt, Guest Editor", Published by MDPI, Basel

Published
2021
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45. Real-Time Simulation-Based Testing of Modern Energy Systems: A Review and Discussion

Author

Benigni, Andrea, Strasser, Thomas I., De Carne, Giovanni, Liserre, Marco, Cupelli, Marco, and Monti, Antonello

Subjects
Power station, business.industry, Testing, 020208 electrical & electronic engineering, Fossil fuel, Field programmable gate arrays, Chemical plant, 02 engineering and technology, 7. Clean energy, Industrial and Manufacturing Engineering, Tools, Hardware, 13. Climate action, Real-time simulation, Power system dynamics, 0202 electrical engineering, electronic engineering, information engineering, Environmental science, Delays, ddc:620, Electrical and Electronic Engineering, business, Energy system, Process engineering, Real-time systems, Energy (signal processing)
Abstract

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.

Published
2020
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