Managing the bottlenecks in parallel Gauss-Seidel type algorithms for power flow analysis

Journal Article · Sun May 01 00:00:00 EDT 1994 · IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/59.317675· OSTI ID:7154127

Huang, G; Ongsakul, W ^[1]

---

1. Texas A M Univ., College Station, TX (United States). Dept. of Electrical Engineering

Earlier the parallelization and implementations of Gauss-Seidel (G-S) algorithms for power flow analysis have been investigated on a Sequent Balance shared memory (SM) machine. In this paper, the authors generalize the idea to more general computer architectures and demonstrate how to effectively increase the speedup upper bounds of G-S algorithms by properly managing the bottlenecks on both Sequent Balance SM and nCUBE2 distributed memory (DM) machines. For G-S algorithms, when a coloring process is used to schedule the processors, there is almost no sequential portion. Thus, the only decisive factor left, which has a direct impact on the speedup upper bound, is the synchronization overhead. The authors propose a new synchronization scheme which can reduce the synchronization overhead on the Sequent Balance machine. Also, on the nCUBE2 machine, a new clustered G-S algorithm is proposed and implemented. The algorithm carefully schedules their processors, computational loads and communication overheads for the best performance. In addition, the synchronization overheads and speedup upper bounds on both machines are analyzed in terms of power system size and number of processors. The competitiveness of G-S type algorithms is also discussed.

• OSTI ID: 7154127
• Journal Information: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States) Vol. 9:2; ISSN ITPSEG; ISSN 0885-8950
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
240100* -- Power Systems-- (1990-)
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTER CALCULATIONS
COMPUTERIZED SIMULATION
DATA PROCESSING
ENERGY SYSTEMS
MATHEMATICS
NUMERICAL ANALYSIS
PARALLEL PROCESSING
POWER SYSTEMS
POWER TRANSMISSION
PROCESSING
PROGRAMMING
SIMULATION
TASK SCHEDULING