arrow
Return

Temporal Decomposition for Security-Constrained Unit Commitment

delete2020-05-01
delete29
PRE
AI
F
Farnaz Safdarian
A
Ali Mohammadi
A
Amin Kargarian *
DOI:10.1109/TPWRS.2019.2947410delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper proposes a temporal decomposition strategy to reduce the computation time of security-constrained unit commitment (SCUC). The novelty of this paper is twofold. The scheduling horizon is decomposed into multiple subhorizons. The concept of coupling intervals is introduced, and a set of auxiliary counting variables and logical expressions along with their equivalent linear models are formulated to handle intertemporal ramp constraints and minimum on/off times between consecutive subhorizons. An accelerated analytical target cascading (A-ATC) algorithm is developed to coordinate SCUC subproblems and find the optimal solution for the whole operation horizon in a distributed manner. An initialization strategy is presented to enhance the convergence performance of A-ATC. The proposed algorithm is tested on four test systems.
Keywords:
Couplings
Processor scheduling
Indexes
Time factors
Acceleration
Distributed algorithms
Economics
Temporal decomposition
security-constrained unit commitment
accelerated analytical target cascading
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Power Systems cover
IEEE Transactions on Power Systems
IF:
7.2
Papers:
1.1W
Citations:
5.0W

Organization

L
louisiana state university system
Scholars:
2.3W
Papers: 2.0W
Citations: 15