Exascale Computing for the National Energy Grid

Sat, 01 Jan 2022 00:00:00 +0000

Exascale Computing for the Stochastic Grid Dynamics of the US national energy transmission network is a part of the Exascale Computing Project to tap the world’s largest supercomputer to solve the nation’s energy grid problems.

Exascale Computing Project

Overview

The Exascale Computing Project that enables US revolutions in technology development: scientific Discovery; health care; and energy, economic, and national security. Exascale computing will provide the capability to tackle challenges at levels of complexity and performance that previously were out of reach.

The Problem

How can we secure the national energy transmission network despite unexpected cyber attacks, natural disasters, and unpredictable load fluctuations?
How fast and far into the future can we make it resilient?
How can we ultimately achieve this at the least cost to everyone?

The Solution

Enter Exascale computing and Global Optimization.

This project attacks this nationally important problem with an unprecedented high-technology approach that relies on supercomputing to work out the very best global solutions on-the-fly, rapidly examining millions of configurations involving all the energy generators, transmission lines, event contingencies, and complex physical constraints. Very high-end algorithms implemented with sophisticated parallel processing software is designed for the state-of-the-art supercomputing hardware, combining the know-how of some of the very best minds across the US national laboratory systems, tapping a range of experts in energy domain sciences, computational optimization, numerical algorithms, high-end computing hardware, and advanced software stack organization techniques.

Organization

Sponsor: US Department of Energy (DOE)
- Office: Advanced Scientific Computing Research (ASCR)
- Program: Exascale Computing Project (ECP)
Institutions: PNNL, ORNL, ANL, LLNL, NREL
Period: 2019-2023/24

Abbreviations

PNNL = Pacific Northwest National Laboratory
ORNL = Oak Ridge National Laboratory
ANL = Argonne National Laboratory
LLNL = Lawrence Livermore National Laboratory
NREL = National Renewable Energy Laboratory
PI = Principal Investigator

Gallery

Design Considerations for GPU-based Mixed Integer Programming on Parallel Computing Platforms

Mon, 09 Aug 2021 00:00:00 +0000

https://dl.acm.org/doi/abs/10.1145/3458744.3473366

Optimization | Kalyan Perumalla