Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A study on generator maintenance scheduling considering renewable energy generators

Authors
Lee, Y.Oh, U.Choi, J.Jung, M.
Issue Date
2018
Publisher
Korean Institute of Electrical Engineers
Keywords
Generator maintenance scheduling; Genetic algorithm; Probabilistic production cost; Probabilistic reliability evaluation; Renewable energy generator
Citation
Transactions of the Korean Institute of Electrical Engineers, v.67, no.5, pp 601 - 610
Pages
10
Indexed
SCOPUS
KCI
Journal Title
Transactions of the Korean Institute of Electrical Engineers
Volume
67
Number
5
Start Page
601
End Page
610
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/13022
DOI
10.5370/KIEE.2018.67.5.601
ISSN
1975-8359
2287-4364
Abstract
The purpose of this paper is to establish a new optimum Generator Maintenance Scheduling(GMS) considering renewable energy generator. In this paper, the total renewable energy generation is estimated using hourly capacity factor of renewable energy generator. The GMS was optimized with the objective function of maximizing the minimum reserve rate, minimizing the probabilistic production cost, minimizing the loss of load expectation, and minimizing CO2 emissions. In the case study of this paper, GMS considering renewable energy and GMS not considering renewable energy are shown by each objective function. And it shows scenarios of the reliability, the environmental and economical factors when two nuclear power plants inputted and ten coal thermal power plants shut downed respectively. ? The Korean Institute of Electrical Engineers.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 전기공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE