Fast Transient Stability Solution Using an Array Processor

Taoka, Hisao; Abé,; Takeda,

doi:10.1109/mper.1983.5520139

Cited by 15 publications

(5 citation statements)

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“…Supercomputers [26], multiprocessor networks [27], [28], arrayprocessors [29], [30], and real-time simulators based on clustered general purpose processors [13], [31] all have been examined and reported for this application. Although these hardware-based approaches helped to speed-up the simulation, they were limited by many factors such as cost, communication issues, programmability, and the system size.…”

Section: B Application Of Parallel Processingmentioning

confidence: 99%

Large-scale transient stability simulation of electrical power systems on parallel GPUs

Jalili-Marandi

Zhou

Dinavahi

2012

2012 IEEE Power and Energy Society General Meeting

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This paper proposes large-scale transient stability simulation based on the massively parallel architecture of multiple graphics processing units (GPUs). A robust and efficient instantaneous relaxation based parallel processing technique which features implicit integration, full Newton iteration, and sparse LU based linear solver is used to run the multiple GPUs simultaneously. This implementation highlights the combination of coarse-grained algorithm-level parallelism with fine-grained data-parallelism of the GPUs to accelerate large-scale transient stability simulation. Multi-threaded parallel programming makes the entire implementation highly transparent, scalable and efficient. Several large test systems are used for the simulation with a maximum size of 9984 buses and 2560 synchronous generators all modeled in detail resulting in matrices that are larger than 20000×20000.Index Terms-Graphics processors, instantaneous relaxation, large-scale systems, multiple GPUs, newton-raphson method, parallel multi-threaded programming, power system simulation, power system transient stability, sparse direct solvers.

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Section: B Application Of Parallel Processingmentioning

confidence: 99%

Large-scale transient stability simulation of electrical power systems on parallel GPUs

Jalili-Marandi

Zhou

Dinavahi

2012

2012 IEEE Power and Energy Society General Meeting

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“…(5) Adequate synchronization between A/O and A/I shall be considered (for power transfer). (6) Adequate feed back algorithms shall be considered along with A/O through A/l route (for power transfer).…”

Section: (4)mentioning

confidence: 99%

Real-time digital simulator with digital/analog conversion interface for testing power instruments

Taoka¹,

Iyoda²,

Noguchi³

et al. 1993

Conference Proceedings Power Industry Computer Application Conference

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The need for real-time simulation stems from the fact that in many practical situations it is desirable to analyze the dynamic behavior of a large power system with advanced equipment that has complex and high-speed performance. Analog simulators are effective, however they impose serious limitations on the size of the system that is being modeled. We have studied and developed a realtime digital simulator using a hypercube computer, and realized a realtime performance available for the analysis of large power systems. Now as the second step of our study, we developed a digital/analog conversion interface for testing actual power instruments. The interface exchanges the variables of fundamental frequency domain in the real-time digital simulator, and the variables of exact time domain in the analog equipments connected to the simulator.In this paper, we describe the detail of our developed digital/analog conversion interface of real-time digital simulator for testing advanced power instruments. Its conversion algorithm, system configuration of the simulator with the interface, experimental results are. also presented in it.

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“…High-speed transient stability analysis is critical to realize a real-time training simulator and a dynamic security monitoring system, as well as tc improve planning quality [1]- [2]. In order to get fast solution of differential equations in a transient stability analysis, we have already developed a vectorization technique of an integral scheme adapted for an array processor which is one of the new generation computers [1].…”

Section: Introductionmentioning

confidence: 99%

“…In order to get fast solution of differential equations in a transient stability analysis, we have already developed a vectorization technique of an integral scheme adapted for an array processor which is one of the new generation computers [1].…”

Section: Introductionmentioning

confidence: 99%

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Fast Solution Method of Sparse Network Equations with an Array Processor

Taoka

Abe

1986

IEEE Trans. Power Syst.

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Taking full advantage of pipeline architecture, we propose a fast solution method of sparse network equations that consists of an improved node ordering and data storing scheme.The improved node ordering scheme enables overlapped operation of a series of multiply-and-subtract calculations in the substitution process by deriving parallelism in them.The new data storing scheme stores factorized data and the address of variables in vector.Using these new schemes in array processor AP-120B, the substitution process of solving network equations can be executed three times as fast as with the conventional method supplied in the AP-120B's standard mathematical library.

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Fast Transient Stability Solution Using an Array Processor

Cited by 15 publications

References 0 publications

Large-scale transient stability simulation of electrical power systems on parallel GPUs

Large-scale transient stability simulation of electrical power systems on parallel GPUs

Real-time digital simulator with digital/analog conversion interface for testing power instruments

Fast Solution Method of Sparse Network Equations with an Array Processor

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