Skip to content

xuqianwen92/Optimization

 
 

Repository files navigation

Optimization (modelling and algorithm development)

Two parts of work are presented in the optimization package.

  1. Modelling a) Optimal power flow. b) Economic dispatch. c) Unit commitment. d) Chance constrained programming. e) Two-stage stochastic programming. f) Two-stage chance constrained programming. g) Conic programming. h) Online optimization. More models will added in the further.

  2. Algorithms a) Interior point method b) Branch and bound c) Benders decomposition d) Generalized Benders decomposition f) ADMM

Two commercial software packages are required for the deployment of this package, 1) Gurobi and 2) Mosek.

The mathematical models can be found vai the following websites: https://scholar.google.com.sg/citations?user=r-F063gAAAAJ&hl=en https://www.researchgate.net/profile/Tianyang_Zhao5

If you are interested in the communication and optimal decision making problems, you can send contact with me via the following e-mail: matrixeigs@gmail.com

About

Optimization models and their applications in power systems

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%