MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

By M. I. Ray D. Zimmerman, M. I. Carlos E. Murillo-S´anchez, L. F. I. Robert J. Thomas. IEEE Transactions on Power Systems, 2011

5,761 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f8c6b06e197ba8f61cbe946291d9918521edffab

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Citations in the corpus

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms (2019, methodology): “However, a variety of subtle challenges arise when incorporating such devices into an OPF problem formulation [63] and continued research is required to arrive at a broadly accepted generalization of Model 1 that incorporates more reactive control devices.”
Machine Learning Methods for Attack Detection in the Smart Grid (2015, methodology): “The measurement matrices H of the systems are obtained from the MATPOWER toolbox [36].”
Carbon Emission Flow From Generation to Demand: A Network-Based Model (2015, methodology): “The power-flow analysis of the test system was performed in MATPOWER [19].”
Defending Against False Data Injection Attacks on Power System State Estimation (2017, methodology): “The topology and configuration of these test power systems (particularly the H∗ matrix) are extracted from MATPOWER, a MATLAB package for solving power flow problems [25].”
Solving Multiperiod OPF Problems Using an AC-QP Algorithm Initialized With an SOCP Relaxation (2017, methodology): “The scalability of these methods is further demonstrated using five other large test cases (the Polish 2383wp, 2737sop and 3120sp cases [43], the 2869-bus PEGASE network representing portions of the European power system [45], and a 4259-bus”
Frequency Stability of Synchronous Machines and Grid-Forming Power Converters (2020, methodology): “ds. C. Network Model To study the transmission level dynamics of a low-inertia power system, we use Sim Power Systems to perform an EMT simulation of the IEEE 9-bus test system shown in Figure 3 [4], [28]. We model the lines via nominal ˇsections (i.e., with RLC dynamics), model the transformers via”
Distributed dual gradient methods and error bound conditions (2014, methodology): “…below: For each power system considered for simulation we generate the local constraints sets imposed on the phase angle and on the generated power of each bus i , Θ i and P i , respectively, the local loads P di and the matrices E , R and A g using the data extract from the MATPOWER toolbox [28].”
Moment/Sum-of-Squares Hierarchy for Complex Polynomial Optimization (2015, methodology): “on zopt. 4. Application to Electric Power Systems. The optimal power ﬂow is a central problem in electric power systems introduced half a century ago by Carpentier [16]. While many non-linear methods [18,36,64,94] have been developed to solve this notoriously diﬃcult problem, there is a strong motiv”
PyPSA: Python for Power System Analysis (2017, methodology): “Calculation times for performing a full load flow on the MATPOWER [6] standard cases using MATPOWER versus PyPSA.”