Explicit Two-Derivative Runge-Kutta Methods in the Coarse Operator of Parareal Algorithm for Power System Simulation

The objective of this work is to speed up dynamic simulation of large interconnected power system. Parareal algorithm achieves faster dynamic simulation by, decomposing the time domain into coarse sub-intervals and solving them independently and in parallel for fine sub-intervals. In contrast with fine sub-intervals, coarse sub-intervals has a large step time (10-30 times). Thus, an explicit Two Derivative Runge Kutta (TDRK) method is investigated for the coarse operation and compared with conventional methods. Efficacy of the proposed method is shown on different system dynamics.

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Published
2024-11-21
DOI
https://doi.org/10.1109/icefeet64463.2024.10866279
Primary Topic
Numerical methods for differential equations
Type
article
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article

Explicit Two-Derivative Runge-Kutta Methods in the Coarse Operator of Parareal Algorithm for Power System Simulation

Chetna Sagar, Ajit Kumar, Rajni Kumari
Numerical methods for differential equations
article

Explicit Two-Derivative Runge-Kutta Methods in the Coarse Operator of Parareal Algorithm for Power System Simulation

Chetna Sagar, Ajit Kumar, Rajni Kumari
article en

Abstract

The objective of this work is to speed up dynamic simulation of large interconnected power system. Parareal algorithm achieves faster dynamic simulation by, decomposing the time domain into coarse sub-intervals and solving them independently and in parallel for fine sub-intervals. In contrast with fine sub-intervals, coarse sub-intervals has a large step time (10-30 times). Thus, an explicit Two Derivative Runge Kutta (TDRK) method is investigated for the coarse operation and compared with conventional methods. Efficacy of the proposed method is shown on different system dynamics.

National Institute of Technology Patna (IN), Babasaheb Bhimrao Ambedkar Bihar University (IN)
Openalex Percentile: Top 59%
Numerical methods for differential equations
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