Implementation of Parallel Dynamic Simulation on Shared-Memory vs. Distributed-Memory Environments
Power system dynamic simulation computes the system response to a sequence of large disturbance, such as sudden changes in generation or load, or a network short circuit followed by protective branch switching operation. It consists of a large set of differential and algebraic equations, which is computational intensive and challenging to solve using single-processor based dynamic simulation solution. High-performance computing (HPC) based parallel computing is a very promising technology to speed up the computation and facilitate the simulation process. This paper presents two different parallel implementations of power grid dynamic simulation using Open Multi-processing (OpenMP) on shared-memory platform, and Message Passing Interface (MPI) on distributed-memory clusters, respectively. The difference of the parallel simulation algorithms and architectures of the two HPC technologies are illustrated, and their performances for running parallel dynamic simulation are compared and demonstrated.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1254604
- Report Number(s):
- PNNL-SA-100015; TE1103000
- Resource Relation:
- Conference: 9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), December 9-11, 2015, New Delhi, India. IFAC-PapersOnLine, 48(30):221-226
- Country of Publication:
- United States
- Language:
- English
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