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A control strategy for optimal operation of a hydroelectric dam is found through nonlinear and quadratic programming techniques. We use symbolic math to formulate an original model of the hydroelectric dam and then optimize the operation schedule using FMINCON. We then show how improvements can be made to the optimization process and end up with a quadratic programming problem that can be solved efficiently using the large-scale "interior-point-convex" algorithm with the QUADPROG solver.
These files go along with the "An Introduction to Quadratic Programming" webinar, which can be found here: http://www.mathworks.com/videos/optimization-in-matlab-an-introduction-to-quadratic-programming-81868.html
Zitieren als
Seth DeLand (2026). Optimization in MATLAB: An Introduction to Quadratic Program (https://de.mathworks.com/matlabcentral/fileexchange/35856-optimization-in-matlab-an-introduction-to-quadratic-program), MATLAB Central File Exchange. Abgerufen .
Kategorien
Mehr zu Quadratic Programming and Cone Programming finden Sie in Help Center und MATLAB Answers
Allgemeine Informationen
- Version 1.8.0 (102 KB)
Kompatibilität der MATLAB-Version
- Kompatibel mit R2011b und späteren Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
|---|---|---|---|
| 1.8.0 | Added a live script HydroelectricDamOptimization_ProblemBased.mlx that uses the new problem-based framework to make setting up the optimization problem much cleaner. |
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| 1.7.0.1 | Updated license
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| 1.7.0.0 | Updated 3 files with copyright information |
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| 1.0.0.0 |
