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A Graph Computation based Sequential Power Flow Calculation for Large-Scale ACDC Systems
This paper proposes a graph computation based sequential power flow calc...
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Graph Computing based Distributed Fast Decoupled Power Flow Analysis
Power flow analysis plays a fundamental and critical role in the energy ...
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Graph-based Preconditioning Conjugate Gradient Algorithm for N-1 Contingency Analysis
Contingency analysis (CA) plays a critical role to guarantee operation s...
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An efficient open-source implementation to compute the Jacobian matrix for the Newton-Raphson power flow algorithm
Power flow calculations for systems with a large number of buses, e.g. g...
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Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing
In this study, a graph-computing based grid splitting detection algorith...
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Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database
Compared with traditional relational database, graph database, GDB, is a...
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Graph Computing based Fast Screening in Contingency Analysis
During last decades, contingency analysis has been facing challenges fro...
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Graph Based Power Flow Calculation for Energy Management System
Power flow calculation in EMS is required to accommodate a large and complex power system. To achieve a faster than real-time calculation, a graph based power flow calculation is proposed in this paper. Graph database and graph computing advantages in power system calculations are presented. A linear solver for power flow application is formulated and decomposed in nodal parallelism and hierarchical parallelism to fully utilize graph parallel computing capability. Comparison of the algorithm with traditional sequential programs shows significant benefits on computation efficiency. Case studies on practical large-scale systems provide supporting evidence that the new algorithm is promising for online computing for EMS.
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