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GridPACKTM: A framework for developing power grid simulations on high-performance computing platforms.

Authors :
Palmer, Bruce
Perkins, William
Chen, Yousu
Jin, Shuangshuang
Callahan, David
Glass, Kevin
Diao, Ruisheng
Rice, Mark
Elbert, Stephen
Vallem, Mallikarjuna
Huang, Zhenyu
Source :
International Journal of High Performance Computing Applications. Summer2016, Vol. 30 Issue 2, p223-240. 18p.
Publication Year :
2016

Abstract

This paper describes the GridPACKTM framework, which is designed to help power grid engineers develop software capable of running on high-performance computers. The framework makes extensive use of software templates to provide high-level functionality while still providing flexibility to easily implement a broad range of models and algorithms. GridPACKTM contains modules for setting up distributed power grid networks, supporting application-specific bus and branch models, creating distributed matrices and vectors and using parallel linear and non-linear solvers. It also provides mappers to create matrices and vectors based on properties of the network and functionality to support Input/Output (IO) and to manage errors. The goal of GridPACKTM is to substantially reduce the complexity of writing software for parallel computers while still providing efficient and scalable software solutions. The use of GridPACKTM is illustrated for a simple powerflow example and performance results for the powerflow and dynamic simulations are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10943420
Volume :
30
Issue :
2
Database :
Academic Search Index
Journal :
International Journal of High Performance Computing Applications
Publication Type :
Academic Journal
Accession number :
114632987
Full Text :
https://doi.org/10.1177/1094342015607609