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

Author:

Palmer Bruce1,Perkins William1,Chen Yousu2,Jin Shuangshuang2,Callahan David3,Glass Kevin1,Diao Ruisheng1,Rice Mark1,Elbert Stephen1,Vallem Mallikarjuna1,Huang Zhenyu1

Affiliation:

1. Pacific Northwest National Laboratory, Richland, USA

2. Pacific Northwest National Laboratory, Seattle, USA

3. Facebook, Seattle, USA

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.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference23 articles.

1. Power System State Estimation

2. A Component Architecture for High-Performance Scientific Computing

3. Cain M, O’Neill R, Castillo A (2012) History of optimal power flow and formulations. Staff technical paper, Federal Energy Regulatory Commision (FERC), US, December.

4. Terascale direct numerical simulations of turbulent combustion using S3D

5. Comparing IEEE 50.13 and IEC 60034 standards for large cylindrical rotor synchronous machines

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