psst: An Open-Source Power System Simulation Toolbox in Python

Dheepak Krishnamurthy

Research output: Contribution to conferencePaper

5 Scopus Citations

Abstract

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.
Original languageAmerican English
Number of pages6
DOIs
StatePublished - 2016
Event2016 North American Power Symposium (NAPS) - Denver, Colorado
Duration: 18 Sep 201620 Sep 2016

Conference

Conference2016 North American Power Symposium (NAPS)
CityDenver, Colorado
Period18/09/1620/09/16

NREL Publication Number

  • NREL/CP-6A20-66556

Keywords

  • analytical models
  • biological system modeling
  • generators
  • graphical user interfaces
  • ISO
  • open source software
  • power systems

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