Open AccessUnit commitment direct current optimal power flow using mixed-integer linear programming
Author(s) -
Muhammad Fadli Azis,
Julianti Habibuddin,
Mutmainnah,
T Muchtar,
Didik Purwanto
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/885/1/012007
Subject(s) - integer programming , power system simulation , electric power system , linear programming , mathematical optimization , generator (circuit theory) , power (physics) , computer science , power flow , scheduling (production processes) , integer (computer science) , control theory (sociology) , mathematics , programming language , physics , control (management) , quantum mechanics , artificial intelligence
This paper presents unit commitment direct current optimal power flow (UCDCOPF) using mixed-integer linear programming (MILP) for daily power system generation planning. This method is used to solve optimum operation in an electric power system by scheduling generator status and calculating the optimal power output of each generator in a power system. The calculation of this method considers several constraints in the power system. A modified IEEE 24 bus system is used as a test system to show the ability of the proposed approach.