Resilient Adaptive Parallel sImulator for griD (RAPID): An Open Source Power System Simulation Toolboxopen access
- Authors
- Park, Byungkwon; Allu, Srikanth; Sun, Kai; Dimitrovski, Aleksandar; Liu, Yang; Simunovic, Srdjan
- Issue Date
- Aug-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- High-performance computing; open-source tools; parallel algorithm; power engineering research; power systems; power system co-simulation; power system dynamic; semi-analytical solution methods; time-domain simulation
- Citation
- IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY, v.9, pp.361 - 373
- Journal Title
- IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY
- Volume
- 9
- Start Page
- 361
- End Page
- 373
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42740
- DOI
- 10.1109/OAJPE.2022.3197220
- ISSN
- 2687-7910
- Abstract
- This paper describes an open source power system simulation toolbox: Resilient Adaptive Parallel sImulator for griD (RAPID), a package of Python codes that implements an advanced power system dynamic simulation framework. The main function of RAPID is time-domain simulation, and it contains details of the solution process, including the quasi-steady-state power flow analysis, to solve nonlinear differential algebraic equations describing the detailed representation of network and transient stability models of dynamic devices in a computationally efficient manner. In particular, RAPID utilizes and incorporates emerging solution techniques; a novel "parallel-in-time" (Parareal) algorithm, adaptive model reduction, and semi-analytical solution methods as well as the standard numerical solution methods. Moreover, the whole simulation process for the transmission network has been coupled with OpenDSS, a widely used open-source distribution system simulator, to enable the co-simulation of integrated transmission and distribution systems. Basic structure and features of RAPID are presented to provide an easy-to-understand guideline for the usage of the tool and illustrate its unique capabilities. This paper also presents simulation results for a number of test scenarios and demonstrates RAPID's values for advancing power systems research in dynamic modeling and simulation techniques toward researchers as well as educators and students.
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