/Optimization

Optimization models and their applications in power systems

Primary LanguagePythonMIT LicenseMIT

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) Twp-stage stochastic programming. f) Two-stage chance constrainted 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.