MATPOWER

MATPOWER is a package of Matlab M-files for solving power flow and optimal power flow problems. 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. It was initially developed as part of the PowerWeb project.


References in zbMATH (referenced in 60 articles )

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  1. Castrillón-Candás, Julio E.; Kon, Mark: Analytic regularity and stochastic collocation of high-dimensional Newton iterates (2020)
  2. Eltved, Anders; Dahl, Joachim; Andersen, Martin S.: On the robustness and scalability of semidefinite relaxation for optimal power flow problems (2020)
  3. Fokken, Eike; Göttlich, Simone; Kolb, Oliver: Optimal control of compressor stations in a coupled gas-to-power network (2020)
  4. Kardoš, Juraj; Kourounis, Drosos; Schenk, Olaf: Structure-exploiting interior point methods (2020)
  5. Lesage-Landry, Antoine; Taylor, Joshua A.: A second-order cone model of transmission planning with alternating and direct current lines (2020)
  6. Pinheiro, Ricardo B. N. M.; Nepomuceno, Leonardo; Balbo, Antonio R.: Solving large-scale reactive optimal power flow problems by a primal-dual (\mathrmM^2\mathrmBF) approach (2020)
  7. Schween, Nils; Gerstner, Philipp; Meyer-Hübner, Nico; Slednev, Viktor; Leibfried, Thomas; Fichtner, Wolf; Bertsch, Valentin; Heuveline, Vincent: A domain decomposition approach to solve dynamic optimal power flow problems in parallel (2020)
  8. Ahmadloo, Fatemeh; Salmasi, Farzad Rajaei: A stealth integrity targeted cyber-attack in distributed electric power networks with local model information (2019)
  9. Fokken, E.; Göttlich, S.; Kolb, O.: Modeling and simulation of gas networks coupled to power grids (2019)
  10. Jafarpour, Saber; Huang, Elizabeth Y.; Bullo, Francesco: Synchronization of Kuramoto oscillators: inverse Taylor expansions (2019)
  11. Li, Bowen; Jiang, Ruiwei; Mathieu, Johanna L.: Ambiguous risk constraints with moment and unimodality information (2019)
  12. Montanari, Arthur N.; Freitas, Leandro; Torres, Leonardo A. B.; Aguirre, Luis A.: Phase synchronization analysis of bridge oscillators between clustered networks (2019)
  13. Owen, Art B.; Maximov, Yury; Chertkov, Michael: Importance sampling the union of rare events with an application to power systems analysis (2019)
  14. Patil, Deepak; Tesi, Pietro; Trenn, Stephan: Indiscernible topological variations in DAE networks (2019)
  15. Sereeter, Baljinnyam; Vuik, Cornelis; Witteveen, Cees: On a comparison of Newton-Raphson solvers for power flow problems (2019)
  16. Zholbaryssov, Madi; Fooladivanda, Dariush; Domínguez-García, Alejandro D.: Resilient distributed optimal generation dispatch for lossy AC microgrids (2019)
  17. Zorin, Ivan A.; Gryazina, E. N.: An overview of semidefinite relaxations for optimal power flow problem (2019)
  18. Beck, Amir; Beck, Yuval; Levron, Yoash; Shtof, Alex; Tetruashvili, Luba: Globally solving a class of optimal power flow problems in radial networks by tree reduction (2018)
  19. Cheng, Jianqiang; Chen, Richard Li-Yang; Najm, Habib N.; Pinar, Ali; Safta, Cosmin; Watson, Jean-Paul: Chance-constrained economic dispatch with renewable energy and storage (2018)
  20. Josz, Cédric; Molzahn, Daniel K.: Lasserre hierarchy for large scale polynomial optimization in real and complex variables (2018)

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