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{"references": ["R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, \"MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education,\" Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12\u201319, Feb. 2011. doi: 10.1109/TPWRS.2010.2051168.", "R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, \"MATPOWER's Extensible Optimal Power Flow Architecture,\" Power and Energy Society General Meeting, 2009 IEEE, pp. 1-7, July 26-30 2009. doi: 10.1109/PES.2009.5275967.", "H. Wang, C. E. Murillo-S\u00e1nchez, R. D. Zimmerman, R. J. Thomas, \"On Computational Issues of Market-Based Optimal Power Flow,\" Power Systems, IEEE Transactions on, vol. 22, no. 3, pp. 1185-1193, Aug. 2007. doi: 10.1109/TPWRS.2007.901301.", "C. E. Murillo-Sanchez, R. D. Zimmerman, C. L. Anderson, and R. J. Thomas, \"Secure Planning and Operations of Systems with Stochastic Sources, Energy Storage and Active Demand,\" Smart Grid, IEEE Transactions on, vol. 4, no. 4, pp. 2220\u20132229, Dec. 2013. doi: 10.1109/TSG.2013.2281001."]}

MATPOWER is a package of M-files for solving power flow, continuation power flow and optimal power flow problems using MATLAB or Octave. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify. MATPOWER releases can be downloaded from the MATPOWER website, and the latest stable and work-in-progress versions can always be downloaded or cloned from the MATPOWER GitHub project. The master branch should always contain a stable version.

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Keywords

power systems, MATPOWER, power grid

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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