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 67 articles )

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  1. Li, Qinxue; Li, Shanbin; Xu, Bugong; Liu, Yonggui: Data-driven attacks and data recovery with noise on state estimation of smart grid (2021)
  2. Roth, Jacob; Barajas-Solano, David A.; Stinis, Panos; Weare, Jonathan; Anitescu, Mihai: A kinetic Monte Carlo approach for simulating cascading transmission line failure (2021)
  3. Abhyankar, Shrirang; Betrie, Getnet; Maldonado, Daniel Adrian; Mcinnes, Lois C.; Smith, Barry; Zhang, Hong: PETSc DMNetwork: a library for scalable network PDE-based multiphysics simulations (2020)
  4. Castrillón-Candás, Julio E.; Kon, Mark: Analytic regularity and stochastic collocation of high-dimensional Newton iterates (2020)
  5. Chowdhury, Nilanjan Roy; Belikov, Juri; Baimel, Dmitry; Levron, Yoash: Observer-based detection and identification of sensor attacks in networked CPSs (2020)
  6. Eltved, Anders; Dahl, Joachim; Andersen, Martin S.: On the robustness and scalability of semidefinite relaxation for optimal power flow problems (2020)
  7. Fokken, Eike; Göttlich, Simone; Kolb, Oliver: Optimal control of compressor stations in a coupled gas-to-power network (2020)
  8. Kardoš, Juraj; Kourounis, Drosos; Schenk, Olaf: Structure-exploiting interior point methods (2020)
  9. Lesage-Landry, Antoine; Taylor, Joshua A.: A second-order cone model of transmission planning with alternating and direct current lines (2020)
  10. Md Ashfaqur Rahman: Torrit: A GUI-Based Power System Simulation Platform (2020) arXiv
  11. Meng, Min; Xiao, Gaoxi; Zhai, Chao; Li, Guoqi; Wang, Zhen: Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays (2020)
  12. Montanari, Arthur N.; Moreira, Ercilio I.; Aguirre, Luis A.: Effects of network heterogeneity and tripping time on the basin stability of power systems (2020)
  13. 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)
  14. 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)
  15. Ahmadloo, Fatemeh; Salmasi, Farzad Rajaei: A stealth integrity targeted cyber-attack in distributed electric power networks with local model information (2019)
  16. Fokken, E.; Göttlich, S.; Kolb, O.: Modeling and simulation of gas networks coupled to power grids (2019)
  17. Jafarpour, Saber; Huang, Elizabeth Y.; Bullo, Francesco: Synchronization of Kuramoto oscillators: inverse Taylor expansions (2019)
  18. Li, Bowen; Jiang, Ruiwei; Mathieu, Johanna L.: Ambiguous risk constraints with moment and unimodality information (2019)
  19. Montanari, Arthur N.; Freitas, Leandro; Torres, Leonardo A. B.; Aguirre, Luis A.: Phase synchronization analysis of bridge oscillators between clustered networks (2019)
  20. Owen, Art B.; Maximov, Yury; Chertkov, Michael: Importance sampling the union of rare events with an application to power systems analysis (2019)

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