Implicit - integration dynamics simulation with the GridPACK framework | IEEE Conference Publication | IEEE Xplore

Implicit - integration dynamics simulation with the GridPACK framework


Abstract:

Fast dynamics simulation of large-scale power systems is a computational challenge because of the need to solve a large set of stiff, nonlinear differential-algebraic equ...Show More

Abstract:

Fast dynamics simulation of large-scale power systems is a computational challenge because of the need to solve a large set of stiff, nonlinear differential-algebraic equations (DAE) at every time step. This paper presents a new implicit-integration dynamics simulation application added to the GridPACK™ framework. This new dynamics simulation application uses implicit integration schemes and offers several features such as variable time-stepping capabilities, automatic network partitioning, and accurate handling of discontinuities. The implementation details of this new dynamics simulation application is discussed in this paper and performance results are presented for a large 12,000 bus network.
Date of Conference: 26-29 July 2021
Date Added to IEEE Xplore: 20 December 2021
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ISSN Information:

Conference Location: Washington, DC, USA

Funding Agency:

References is not available for this document.

I. Introduction

Power systems undergo disturbances of various types, including balanced and unbalanced short circuits, outage of generators, transmission lines and other equipment, breaker tripping, etc. [1]. System planning engineers routinely conduct dynamic security assessment (DSA) studies to analyze the impact of different events, such as a new generator interconnection request or a new equipment installation (e.g. SVCs), or the loss of critical lines or loads. Such studies require the simulation of a lot of what-if scenarios that analyze the system impact of disturbances relative to the base case and different contingency conditions. Typically, such studies for large utility networks are extremely time-consuming and hence DSA is restricted to offline analysis.

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1.
P. Sauer and M. A. Pai, Power System Dynamics and Stability, Prentice Hall Inc., 1998.
2.
P. Denholm, T. Mai, R. W. Kenyon, B. Proposki and M. O'Malley, Inertia and the Power Grid: A guide without the spin, 2020, [online] Available: https://www.nrel.gov/docs/fy20osti/73856.pdf.
3.
"Technical Report: BPS-Connected Inverter-Based Resource Modeling Studies", North American Electric Reliability Corporation (NERC), 2020.
4.
J. Chai, S. Zhu, A. Bose and D. J. Tylavsky, "Parallel newton type methods for power system stability analysis using local and shared memory multiprocessors", IEEE Transactions on Power Systems, vol. 6, pp. 9-15, 1991.
5.
I. Decker, D. Falcao and E. Kaszkurewicz, "Conjugate gradient methods for power system dynamic simulation on parallel computers", IEEE Transactions on Power Systems, vol. 7, pp. 629-636, 1994.
6.
L. Hou and A. Bose, "Implementation of the waveform relaxation algorithm on a shared memory computer for the transient stability problem", IEEE Transactions on Power Systems, vol. 12, pp. 1053-1060, 1997.
7.
P. Aristidou, D. Fabozzi and T. V. Cutsem, "Dynamic simulation of large-scale power systems using a parallel schur-complement-based decomposition method", IEEE Transactions on Parallel and Distributed Systems, vol. 25, pp. 2561-2570, 2013.
8.
S. Abhyankar, Development of an implicitly coupled electromechanical and electromagnetic transients simulator for power systems, 2011.
9.
S. Abhyankar and A. Flueck, "Real-time power system dynamics simulation using a parallel block-jacobi preconditioned Newton-GMRES scheme", Proceedings of the 2 nd International Workshop on High Performance Computing Networking and Analytics for the Power Grid , 2012.
10.
S. Abhyankar, E. M. Constantinescu, B. F. Smith, A. J. Flueck and D. A. Maldonado, "Parallel Dynamics Simulation using a Krylov-Schwarz Linear Solution Scheme", IEEE Transactions on Smart Grid, pp. 1378-1386, 2017.
11.
R. Huang, S. Jin, Y. Chen, R. Diao, B. Palmer, Q. Huang, et al., "Faster than real-time dynamic simulation for large-size power system with detailed dynamic models using high-performance computing platform", 2017 IEEE Power Energy Society General Meeting, pp. 1-5, 2017.
12.
S. Jin, Z. Huang, R. Diao, D. Wu and Y. Chen, "Comparative implementation of high performance computing for power system dynamic simulations", IEEE Transactions on Smart Grid, vol. 8, no. 3, pp. 1387-1395, 2017.
13.
S. Abhyankar, E. M. Constantinescu and A. Flueck, "Variable-step Multistage Integration Methods for Fast and Accurate Power System Dynamics Simulation", Proceedings of the x th Bulk Power Dynamics and Control Symposium , 2017.
14.
S. Balay, S. Abhyankar, M. F. Adams, J. Brown, P. Brune, K. Buschelman, et al., "PETSc users manual", Argonne National Laboratory, 2016.
15.
S. Abhyankar, J. Brown, E. M. Constantinescu, D. Ghosh, B. F. Smith and H. Zhang, "Petsc/ts: A modern scalable ode/dae solver library", arXiv preprint, 2018.
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References

References is not available for this document.