psst: An open-source power system simulation toolbox in Python
This paper is an overview of Power System Simulation Toolbox (psst). psst is an open-source Python application for the simulation and analysis of power system models. psst simulates the wholesale market operation by solving a DC Optimal Power Flow (DCOPF), Security Constrained Unit Commitment (SCUC) and a Security Constrained Economic Dispatch (SCED). psst also includes models for the various entities in a power system such as Generator Companies (GenCos), Load Serving Entities (LSEs) and an Independent System Operator (ISO). psst features an open modular object oriented architecture that will make it useful for researchers to customize, expand, experiment beyond solving traditional problems. psst also includes a web based Graphical User Interface (GUI) that allows for user friendly interaction and for implementation on remote High Performance Computing (HPCs) clusters for parallelized operations. This paper also provides an illustrative application of psst and benchmarks with standard IEEE test cases to show the advanced features and the performance of toolbox.
- Research Organization:
- NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
- Sponsoring Organization:
- Iowa State University
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1335107
- Report Number(s):
- NREL/CP-6A20-66556; ISBN: 9781509032716
- Journal Information:
- Proceedings of the 2016 North American Power Symposium (NAPS), Journal Name: Proceedings of the 2016 North American Power Symposium (NAPS) Journal Issue: none Vol. none; ISSN 1558-2256
- Publisher:
- Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)
- Country of Publication:
- United States
- Language:
- English
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