MATGRID is an easy-to-use simulation tool for researchers and educators provided as a MATLAB package, with source code released under MIT License. MATGRID is inspired by Matpower and allows a variety of display and manipulation options.
We have tested and verifed simulation tool using different scenarios to the best of our ability. As a user of this simulation tool, you can help us to improve future versions, we highly appreciate your feedback about any errors, inaccuracies, and bugs. For more information, please visit our wiki site.
The software package provides the solution of the AC and DC power flow, non-linear and DC state estimation, as well as the state estimation with PMUs, with standalone measurement generator.
MATGRID includes, inter alia, the weighted least-squares and least absolute values state estimation, optimal PMU placement, and bad data processing.
runpf('ieee14_20', 'nr', 'main', 'flow');
runpf('ieee14_20', 'dc', 'main', 'flow');
runse('ieee118_186', 'nonlinear', 'estimate');
runse('ieee118_186', 'dc', 'estimate');
runse('ieee14_20', 'pmu', 'pmuOptimal', 'estimate');
Major changes:
- 2019-04-21 the DC state estimation with observability analysis and bad data processing optimized for large-scale systems
- 2019-04-08 Added the DC observability analysis with identification of observable islands
- 2019-04-03 Added observability analysis (DC state estimation only , beta version, please treat the results with attention)
- 2019-03-28 Added Gauss-Seidel, decoupled Newton-Raphson and fast decoupled Newton-Raphson algorithm
- 2019-03-21 Added least absolute value (LAV) state estimation
- 2019-03-19 Added bad data processing