Open AccessDay‐ahead unit commitment for hydro‐thermal coordination with high participation of wind power
Author(s) -
Zuluaga Jorge,
MurilloSanchez Carlos E.,
MorenoChuquen Ricardo,
Chamorro Harold R.,
Sood Vijay K.
Publication year - 2023
Publication title -
iet energy systems integration
Language(s) - English
Resource type - Journals
ISSN - 2516-8401
DOI - 10.1049/esi2.12078
Subject(s) - power system simulation , integer programming , mathematical optimization , computer science , linear programming , stochastic programming , computation , wind power , electric power system , reduction (mathematics) , unit (ring theory) , operations research , power (physics) , engineering , mathematics , algorithm , physics , geometry , mathematics education , quantum mechanics , electrical engineering
The variability and uncertainty of renewable resources impose new challenges in the operational planning related to the unit commitment of generation units. The development of day‐ahead multi‐period optimal power flow, under integration of wind power, requires modelling of multiple scenarios in order to ensure an optimal power flow minimising the generation cost. A progressive hedging approach has been proposed and developed to solve efficiently the unit commitment problem as a two‐stage stochastic programming problem to update each stage in parallel. The performance of progressive hedging is compared with a standard mixed‐integer linear programming problem. The results indicate that the computation time is 50 times faster than standard mixed‐integer linear programming. The test case system is based on a reduced version of the interconnected Colombian system. The comparative results indicate an important reduction in computational time.