Power System Distributed Real-Time Simulations via Serverless Inspired Computing

Real-time simulations (RTSs) are popular in research because they can mimic real power-grid conditions. They are more flexible and scalable than physical laboratory tests are. To make RTSs more scalable, computing power is improved in different locations using shared networks resulting in distributed real-time simulation (DRTS). However, performing DRTS experiments is difficult and time-consuming, because it is necessary to coordinate different research setups to work together. Although serverless technology has improved, its use in DRTS is still time-consuming, particularly with many partners. This paper introduces a new DRTS method based on the server-less capabilities of the VILLAS framework for power systems using container blocks. Three experiments were performed using a simple linear time-varying circuit under sinusoidal conditions. In the first experiment, the simulations used DPSIM and EMT solvers of the open-source DPsim software with different time steps on one computer. In the second experiment, the proposed DRTS method is run on a single computer but using the proposed DRTS. In the third experiment, the simulation was run on two computers (emulating two labs) connected through a LAN. Experiment results show that container-based simulations are accurate in the presence of time-varying conditions in electrical networks and add flexibility to experimental design without the introduction of overhead in execution.

Authors

Institutions

Publication Details

Published
2025-07-15
DOI
https://doi.org/10.1109/eeeic/icpseurope64998.2025.11168991
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power System Distributed Real-Time Simulations via Serverless Inspired Computing

Michele De Santis, Luigi Rubino, Roberto Langella, Giovanni Salvatore Barbato et al.
Real-time simulation and control systems
article

Power System Distributed Real-Time Simulations via Serverless Inspired Computing

Michele De Santis, Luigi Rubino, Roberto Langella, Giovanni Salvatore Barbato, Antonio Picone
article en

Abstract

Real-time simulations (RTSs) are popular in research because they can mimic real power-grid conditions. They are more flexible and scalable than physical laboratory tests are. To make RTSs more scalable, computing power is improved in different locations using shared networks resulting in distributed real-time simulation (DRTS). However, performing DRTS experiments is difficult and time-consuming, because it is necessary to coordinate different research setups to work together. Although serverless technology has improved, its use in DRTS is still time-consuming, particularly with many partners. This paper introduces a new DRTS method based on the server-less capabilities of the VILLAS framework for power systems using container blocks. Three experiments were performed using a simple linear time-varying circuit under sinusoidal conditions. In the first experiment, the simulations used DPSIM and EMT solvers of the open-source DPsim software with different time steps on one computer. In the second experiment, the proposed DRTS method is run on a single computer but using the proposed DRTS. In the third experiment, the simulation was run on two computers (emulating two labs) connected through a LAN. Experiment results show that container-based simulations are accurate in the presence of time-varying conditions in electrical networks and add flexibility to experimental design without the introduction of overhead in execution.

University of Campania "Luigi Vanvitelli" (IT)
Openalex Percentile: Top 66%
Real-time simulation and control systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.