arrow
Return

Reliability constrained unit commitment using simulated annealing

delete2006-11-01
delete103
PRE
AI
D
D.N. Simopoulos *
S
S.D. Kavatza
C
Costas Vournas
DOI:10.1109/TPWRS.2006.881128delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper proposes a new method for the incorporation of the unit unavailability and the uncertainty of the load forecast in the solution of the short-term unit commitment problem. The above parameters are taken into account in order to assess the required spinning reserve capacity at each hour of the dispatch period, so as to maintain an acceptable reliability level. The unit commitment problem is solved by a simulated annealing algorithm resulting in near-optimal unit commitment solutions. The evaluation of the required spinning reserve capacity is performed by implementing reliability constraints, based on the expected unserved energy and loss of load probability indexes. In this way, the required spinning reserve capacity is effectively scheduled according to the desired reliability level. Numerical simulations have proven the efficiency of the proposed method.
Keywords:
probabilistic reserve assessment
reliability constraints
simulated annealing (SA)
unit commitment (UC)
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

No organization information available
Cited Papers

Cited Papers

Contrasting Roles of DOP as a Source of Phosphorus and Energy for Marine Diazotrophs
err2022-07-25
err0
errOAAI
errAlba Filella; Lasse Riemann; France Van Wambeke; Elvira Pulido-Villena; Angela Vogts; Sophie Bonnet; Olivier Grosso; Julia M. Diaz; Solange Duhamel; Mar Benavides
errShare
errSave
errShare
errSave
Human erythroid porphobilinogen deaminase exists in 2 splice variants
err2001-02-01
err0
PREAI
errAlexander N. Gubin; Jeffery L. Miller
errShare
errSave
researcher View more