A hybrid algorithm for the unit commitment problem with wind uncertainty

This paper applies the sine cosine algorithm to the operation planning of wind-penetrated thermoelectric systems considering wind-related uncertainties, which is a mixed-integer nonlinear programming problem often referred to as thermal unit commitment with power integration. The proposed method, de...

Full description

Saved in:
Bibliographic Details
Published in:Electrical engineering 2022-04, Vol.104 (2), p.1093-1110
Main Authors: de Oliveira, Layon M., Junior, Ivo C. Silva, Abritta, Ramon, Oliveira, Ezequiel da S., Nascimento, Pedro Henrique M., Honório, Leonardo de M.
Format: Article
Language:English
Subjects:
Algorithms
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Mixed integer
Nonlinear programming
Original Paper
Power dispatch
Power Electronics
Thermoelectricity
Trigonometric functions
Uncertainty
Unit commitment
Wind power generation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper applies the sine cosine algorithm to the operation planning of wind-penetrated thermoelectric systems considering wind-related uncertainties, which is a mixed-integer nonlinear programming problem often referred to as thermal unit commitment with power integration. The proposed method, denominated hybrid sine cosine algorithm (HSCA), is based on heuristic information derived from sensitivity indexes obtained from priority lists and power dispatch evaluations regarding the thermoelectric system operation. Wind uncertainty was managed by two methodologies, which are extensions of the HSCA, through a set of predicted generation scenarios. One is based on the median wind power generation (M-HSCA), whereas the other is based on the probability distribution matrix (PDM-HSCA). Results have shown that the proposed method is reliable since it guarantees the attendance of all constraints. Furthermore, concerning the operational cost values obtained, it proved itself competitive when compared to other methods found in the literature.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-021-01360-z