A two-stage MIP based optimization framework for unit commitment and energy pricing

Author

Yu Xia ; Marwali, Muhammad ; Chow, Joe H.

Author_Institution

Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

fYear

2015

fDate

20-21 Feb. 2015

Firstpage

1

Lastpage

6

Abstract

Power system unit commitment (UC) is a non-convex NP-complete problem, which is very complex to solve on a large scale. Solution methods for the UC problem have been explored, with Lagrangian relaxation (LR) being one of the most popular approaches in practice. The significant reduction in numerical solution times of commercial Mixed Integer Programming (MIP) solvers makes transitioning from LR to MIP possible. This paper presents a MIP based two-stage optimization approach for solving the UC problem as well as the energy price. The proposed framework has been implemented using MATLAB and tested on two test power systems.

Keywords

integer programming; power generation dispatch; power generation economics; pricing; LR; Lagrangian relaxation; MIP solver; UC; energy pricing; mixed integer programming solver; nonconvex NP-complete problem; power system unit commitment; two-stage MIP based optimization framework; Economics; Equations; Generators; Linear programming; Mathematical model; Power systems; Spinning; Lagrangian relaxation; Mixed integer programming; energy pricing; unit commitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Conference at Illinois (PECI), 2015 IEEE

Conference_Location

Champaign, IL

Type

conf

DOI

10.1109/PECI.2015.7064890

Filename

7064890