{"id":18972531,"url":"https://github.com/mcosovic/matgrid","last_synced_at":"2025-08-01T08:38:52.115Z","repository":{"id":144520923,"uuid":"82476000","full_name":"mcosovic/MATGRID","owner":"mcosovic","description":"MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.","archived":false,"fork":false,"pushed_at":"2019-04-22T15:18:42.000Z","size":47510,"stargazers_count":31,"open_issues_count":1,"forks_count":16,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-04-16T11:03:09.130Z","etag":null,"topics":["bad-data","data-set","gauss-newton-method","least-absolute-value","measurements","newton-raphson","observability","outlier-detection","phasor-measurement-unit","power-flow","power-systems","state-estimation","weighted-least-squares"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mcosovic.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-02-19T17:21:31.000Z","updated_at":"2025-03-03T20:15:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"6ca749e6-85a6-4814-954a-aec61ff8e0a8","html_url":"https://github.com/mcosovic/MATGRID","commit_stats":{"total_commits":332,"total_committers":1,"mean_commits":332.0,"dds":0.0,"last_synced_commit":"8c92814f25b0696004d067541945cb2e65e39ed7"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mcosovic%2FMATGRID","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mcosovic%2FMATGRID/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mcosovic%2FMATGRID/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mcosovic%2FMATGRID/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mcosovic","download_url":"https://codeload.github.com/mcosovic/MATGRID/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249734932,"owners_count":21317934,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bad-data","data-set","gauss-newton-method","least-absolute-value","measurements","newton-raphson","observability","outlier-detection","phasor-measurement-unit","power-flow","power-systems","state-estimation","weighted-least-squares"],"created_at":"2024-11-08T15:09:11.921Z","updated_at":"2025-04-19T16:13:42.982Z","avatar_url":"https://github.com/mcosovic.png","language":"MATLAB","readme":"## MATGRID\n\n\n\u003ca href=\"https://github.com/mcosovic/MATGRID/wiki/MATGRID\"\u003e\u003cimg align=\"right\" width=\"145\" src=\"/doc/figures/logo.png\" /\u003e\u003c/a\u003e\n\nMATGRID 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.\n\nWe 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](https://github.com/mcosovic/MATGRID/wiki/MATGRID) site.\n\nThe 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.\n\n\u003cp align=\"middle\"\u003e\u003ca href=\"https://github.com/mcosovic/MATGRID/wiki/Power-Flow\" itemprop=\"contentUrl\" data-size=\"600x400\"\u003e \u003cimg src=\"/doc/figures/modulepf.png\" width=\"110\"\u003e\u003c/a\u003e \u003ca href=\"https://github.com/mcosovic/MATGRID/wiki/State-Estimation\" itemprop=\"contentUrl\" data-size=\"600x400\"\u003e \u003cimg src=\"/doc/figures/modulese.png\" width=\"110\"\u003e\u003c/a\u003e \u003ca href=\"https://github.com/mcosovic/MATGRID/wiki/Measurement-Generator\" itemprop=\"contentUrl\" data-size=\"600x400\"\u003e \u003cimg src=\"/doc/figures/modulemg.png\" width=\"110\"\u003e\u003c/a\u003e\u003c/p\u003e\n  \nMATGRID includes, inter alia, the weighted least-squares and least absolute values state estimation, optimal PMU placement, and bad data processing.  \n  \n###  Fast Run Power Flow\n```\nrunpf('ieee14_20', 'nr', 'main', 'flow');\nrunpf('ieee14_20', 'dc', 'main', 'flow');\n```\n\n###  Fast Run State Estimation\n```\nrunse('ieee118_186', 'nonlinear', 'estimate');\nrunse('ieee118_186', 'dc', 'estimate');\nrunse('ieee14_20', 'pmu', 'pmuOptimal', 'estimate');\n```\n\n###  Changelog\nMajor changes:\n- 2019-04-21 the DC state estimation with observability analysis and bad data processing optimized for large-scale systems \n- 2019-04-08 Added the DC observability analysis with identification of observable islands\n- 2019-04-03 Added observability analysis (DC state estimation only , beta version, please treat the results with attention)\n- 2019-03-28 Added Gauss-Seidel, decoupled Newton-Raphson and fast decoupled Newton-Raphson algorithm\n- 2019-03-21 Added least absolute value (LAV) state estimation\n- 2019-03-19 Added bad data processing\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmcosovic%2Fmatgrid","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmcosovic%2Fmatgrid","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmcosovic%2Fmatgrid/lists"}