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.
Keywords for this software
References in zbMATH (referenced in 30 articles )
Showing results 1 to 20 of 30.
Sorted by year (- Anwar, Adnan; Mahmood, Abdun Naser; Pickering, Mark: Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements (2017)
- Curtis, Frank E.; Raghunathan, Arvind U.: Solving nearly-separable quadratic optimization problems as nonsmooth equations (2017)
- Eisenberg, Daniel A.; Park, Jeryang; Seager, Thomas P.: Sociotechnical network analysis for power grid resilience in South Korea (2017)
- Fazlyab, Mahyar; Dörfler, Florian; Preciado, Victor M.: Optimal network design for synchronization of coupled oscillators (2017)
- Jovanovic, Raka; Nishi, Tatsushi; Voß, Stefan: A heuristic approach for dividing graphs into bi-connected components with a size constraint (2017)
- Madani, Ramtin; Sojoudi, Somayeh; Fazelnia, Ghazal; Lavaei, Javad: Finding low-rank solutions of sparse linear matrix inequalities using convex optimization (2017)
- Nicolas Pilatte, Petros Aristidou, Gabriela Hug: TDNetGen: An open-source, parametrizable, large-scale, transmission and distribution test system (2017) arXiv
- Shi, Y.; Tuan, H.D.; Tuy, H.; Su, S.: Global optimization for optimal power flow over transmission networks (2017)
- Chang, Chin-Yao; Zhang, Wei: Distributed control of inverter-based lossy microgrids for power sharing and frequency regulation under voltage constraints (2016)
- Ismail, Ziad; Leneutre, Jean; Bateman, David; Chen, Lin: A methodology to apply a game theoretic model of security risks interdependencies between ICT and electric infrastructures (2016)
- Kim, Taedong; Wright, Stephen J.: An $\mathrm S\ell _1 \mathrmLP$-active set approach for feasibility restoration in power systems (2016)
- Kocuk, Burak; Dey, Santanu S.; Sun, X.Andy: Strong SOCP relaxations for the optimal power flow problem (2016)
- Lewis, A.S.; Wright, S.J.: A proximal method for composite minimization (2016)
- Lorca, Álvaro; Sun, X.Andy; Litvinov, Eugene; Zheng, Tongxin: Multistage adaptive robust optimization for the unit commitment problem (2016)
- Pichler, Alois; Tomasgard, Asgeir: Nonlinear stochastic programming-with a case study in continuous switching (2016)
- Ströhle, Philipp; Flath, Christoph M.: Local matching of flexible load in smart grids (2016)
- Wadman, Wander S.; Crommelin, Daan T.; Zwart, Bert P.: A large-deviation-based splitting estimation of power flow reliability (2016)
- Chiang, Naiyuan; Grothey, Andreas: Solving security constrained optimal power flow problems by a structure exploiting interior point method (2015)
- Frasca, Paolo; Ishii, Hideaki; Ravazzi, Chiara; Tempo, Roberto: Distributed randomized algorithms for opinion formation, centrality computation and power systems estimation: a tutorial overview (2015)
- Necoara, Ion; Patrascu, Andrei; Nedić, Angelia: Complexity certifications of first-order inexact Lagrangian methods for general convex programming: application to real-time MPC (2015)