A distributed computing approach for real-time transient stability analysis

Aloisio, Giovanni; Bochicchio, Mario A.; Scala, Massimo La; Sbrizzai, Roberto

doi:10.1109/59.589801

Cited by 57 publications

(23 citation statements)

References 17 publications

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“…With the development of power system scale, the computation tasks are becoming heavier and more complex. Up to now, there have been many research topics related to parallel algorithms and parallel simulation of power system dynamics [2][3][4][5][6][7][8][9][10]. To accomplish the task of power system dynamic simulation, a set of differential algebraic equations (DAEs) have to be solved.…”

Section: Introductionmentioning

confidence: 99%

Multilevel Task Partition Algorithm for Parallel Simulation of Power System Dynamics

Xue

2007

Computational Science – ICCS 2007

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Abstract. Nowadays task partition for parallel computing is becoming more and more important. Particular in power system dynamic simulation, it is critical to design an efficient partition algorithm to reduce the communication and balance the computation load [1]. This paper presents a novel multilevel partition scheme based on the graph partition algorithm. By introducing regional characteristic into the partition, improving the weights of nodes and edges, proposing an objective function to evaluate the partition results and some other schemes, we can efficiently improve the defects in the traditional partition methods. With 12 CPUs for a large scale power system with 10188 nodes, the parallel efficiency with our new algorithm was 63% higher than that with METIS, a well-known program used for partitioning graphs. The proposed algorithm will satisfy the requirement for large scale power grid dynamic simulation.

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Section: Introductionmentioning

confidence: 99%

Multilevel Task Partition Algorithm for Parallel Simulation of Power System Dynamics

Xue

2007

Computational Science – ICCS 2007

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“…The combination of linearized equations to which the set of linearization errors is added, is referred to as conservatively linearized equations. After inserting the conservatively linearized algebraic equations into the conservatively linearized differential equations, we obtain a differential inclusion of the form in (2). The reachable set computation of (2) returns the set…”

Section: Main Algorithmmentioning

confidence: 99%

“…The main advantage of numerical integration is its versatility, meaning that all kinds of models can be analyzed, while the main disadvantage is the limited applicability in emergency situations, when the consequences of a fault have to be known immediately. For this reason, approaches for the parallelization of numerical integration are researched [2], [25]. Alternatively, Monte-Carlo simulation provides a probabilistic evaluation, where many scenarios are deterministically computed and later evaluated by their probability of occurrence.…”

Section: Introductionmentioning

confidence: 99%

Transient stability analysis by reachable set computation

Althoff

Cvetković

Ilić

2012

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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Abstract-We present a formal technique for verifying the stability of transient responses of power systems. The procedure uses reachability analysis to compute the complete set of possible transient responses starting from a set of initial states, subject to a dynamics specified by differential-algebraic equations. The method is constructive and fully automatic, two properties that are often hard to achieve with direct Lyapunov methods when the differential-algebraic equations are not simplified. Reachability analysis is computationally expensive, but this work presents new techniques that make it possible to verify the stability of a transient response of the IEEE 14-bus benchmark power system network.

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“…Parallel processing on distributed systems, based on environments such as PVM, MPI and Java libraries (such as Java RMI and ProActive [9]), has demonstrated its effectiveness for solving compute intensive problems in power systems [3][10] [11]. However, parallel processing represents only an aspect of OPSSA, since also a distributed, large-scale monitoring system is required.…”

Section: Related Workmentioning

confidence: 99%

Web Services Workflow for Power System Security Assessment

Morante

Ranaldo

Zimeo

2005 IEEE International Conference on E-Technology, E-Commerce and E-Service

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This paper presents a service-oriented platform for performing efficient and scalable on-line power system security analysis. This analysis is a complex, large-scale, and compute-intensive problem whose solution requires different distributed resources and functionalities. These can be both high-level services provided by organizations belonging to different functional areas of electric industry and low-level services provided by service providers on the Internet. The platform described in the paper is able to integrate services of different kinds, such as real-time data acquisition from several sources, high computational power and data storage capabilities, to perform complex computations on large scale distributed systems. The paper discusses a Web Services-based implementation of the platform, which is centered on a BPEL-modeled workflow enactor able to exploit a Grid computing middleware to execute compute intensive code.

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A distributed computing approach for real-time transient stability analysis

Cited by 57 publications

References 17 publications

Multilevel Task Partition Algorithm for Parallel Simulation of Power System Dynamics

Multilevel Task Partition Algorithm for Parallel Simulation of Power System Dynamics

Transient stability analysis by reachable set computation

Web Services Workflow for Power System Security Assessment

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