Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Energy Operation System Using Uncertain Electric Data in Korean Tariff System

Authors
Kim, J.Kim, N.Kim, K.Han, J.Lee, J.Choi, J.
Issue Date
2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Demand side management; energy storage system; Karush Kuhn Tucker conditions; photovoltaic voltage; uncertain data
Citation
Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp.747 - 750
Journal Title
Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
Start Page
747
End Page
750
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4362
DOI
10.1109/BigComp.2018.00142
ISSN
0000-0000
Abstract
This paper proposes an energy storage system sharing method with consideration of uncertain data in consumer's load profile and generation amount in photovoltaic voltage. For the rational decision, the power operation plan of the prosumers in the region is determined by considering the fixed electricity charge through the system operator. To consider that whole of predicted data is uncertain comparing with the practical data, we set a practical operating mechanism which depends on 2 stage central operation algorithm. Based on the proposed algorithm, we can stabilize the electric charge of all consumers obtain a result of reducing the peak load in the power system. © 2018 IEEE.
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 소프트웨어학과 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Joo Hyung photo

Lee, Joo Hyung
College of IT Convergence (Department of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE