Open-Source Software for Power Industry Research, Teaching, and Training: A DC Optimal Power Flow Illustration
AbstractSoftware currently available for power industry studies is largely proprietary. Lack of open-source access prevents users from gaining a complete and accurate understanding of what has been implemented, restricts the ability of users to experiment with new software features, and hinders users from tailoring software to specific training scenarios. This study reports on the development of a stand-alone open-source Java solver for DC optimal power flow (DC-OPF) problems suitable for research, teaching, and training purposes. The DC-OPF solver is shown to match or exceed the accuracy of BPMPD, a proprietary third-party QP solver highly recommended by MatPower, when tested on a public repository of small to medium-sized QP problems. The capabilities of the DC-OPF solver are illustrated for a 5-node DC-OPF test case commonly used for training purposes. Related work can be accessed at: http://www.econ.iastate.edu/tesfatsi/AMESMarketHome.htm
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12775.
Date of creation: 01 Jan 2007
Date of revision:
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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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DC optimal power flow; QuadProgJ; AMES; software; open-source; Java; DCOPFJ;
Find related papers by JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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- Sun, Junjie & Tesfatsion, Leigh S., 2006.
"Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework,"
Staff General Research Papers
12649, Iowa State University, Department of Economics.
- Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Society for Computational Economics, vol. 30(3), pages 291-327, October.
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