DocumentCode :
2041614
Title :
Minpower: A power systems optimization toolkit
Author :
Greenhall, A. ; Christie, Robert ; Watson, Jean-Paul
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
Minpower is an open source toolkit for students and researchers in power systems optimization. The toolkit is designed to make working with the classical problems of Economic Dispatch (ED), Optimal Power Flow (OPF), and Unit Commitment (UC) simple and intuitive. Minpower is also built for flexibility and will be a platform for research on smart grids and stochastic resources. Powerful generic optimization solvers (e.g., CPLEX) can be used by Minpower, allowing for reasonable solution times on even large-scale problems. The goal is to create a state-of-the-art open source tool that enables collaboration and accelerates research and learning. The Minpower code is open source and is set up for collaborative authorship and maintenance. Tutorials and thorough documentation are available at minpowertoolkit.com.
Keywords :
load flow; power generation dispatch; power generation economics; power generation scheduling; power system analysis computing; public domain software; smart power grids; ED problem; Minpower code; Minpower open source toolkit; OPF; economic dispatch problem; generic optimization solvers; optimal power flow; power system analysis computing; power system optimization toolkit; smart grids; stochastic resources; unit commitment; Documentation; Economics; Fuels; Generators; Optimization; Power systems; Schedules; Optimization; Power engineering education; Power generation economics; Power system analysis computing; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344667
Filename :
6344667
Link To Document :
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