PES Webinar- Introduction to OpenDSS Parallel Machine - Parallel Processing with OpenDSS
IEEE Power & Energy Society Technical Webinar Series
Introduction to OpenDSS Parallel Machine – Parallel Processing with OpenDSS
May 5, 2018 • 10:00 am ET
Presented by: Dr. Davis Montenegro Martinez, Engineer/Scientist III, Electric Power Research Institute
This webinar introduces the use of OpenDSS-PM (Parallel Machine), which is derived from EPRI’s open-source Distribution System Simulator, OpenDSS, to accelerate QSTS simulations using multi-core computers. It is important since a sequential simulation is a very computationally intensive process.
Modern computing architectures are characterized for introducing the concept of multi-core computing. This feature allows the performance of applications to be improved by distributing tasks on multiple cores to work concurrently. This feature in modern computers created the obvious need for taking OpenDSS into a parallel computing simulation suite.
OpenDSS-PM is used to implement temporal parallelization and Diakoptics based on actors as techniques to reduce the time required in QSTS. Faster QSTS simulations will provide distribution engineers with a more accurate understanding of the impacts of solar variability and high penetrations of PV on the distribution system.
Davis Montenegro Martinez Ph.D., Member, IEEE
Davis Montenegro-Martinez serves as Engineer/Scientist III at the Electric Power Research Institute (EPRI) in the areas of power system modeling, analysis and high-performance computing. He received his degree in electronic engineering from Universidad Santo Tomás, Bogotá, Colombia (2004); he is M.Sc. in electrical engineering from Universidad de Los Andes, Bogotá, Colombia(2012). He received his Ph.D. in electrical engineering from Universidad de Los Andes (2015), and a Ph.D. in electrical engineering from the University Grenoble-Alpes, France (2015).
Before joining EPRI, Davis served for 10 years as a lecturer for Universidad Santo Tomas in Colombia, during this time he was also technology consultant in the areas of industrial automation, software and electronic hardware design focused in the electric power industry specifically in monitoring and control for calibration laboratories.
His expertise in parallel computing techniques is being used at EPRI for incorporating multi-core processing to power system analysis methods such as QSTS, reducing the computational time required to perform these analyses using standard computing architectures.