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Cited 3 time in webofscience Cited 7 time in scopus
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Probabilistic Reliability Evaluation on a Power System Considering Wind Energy with Energy Storage Systems in Chinaopen access

Authors
Zhao, Jing-FengOh, Ung-JinChoi, Jae-SeokLee, Kwang Y.
Issue Date
2018
Publisher
ELSEVIER SCIENCE BV
Keywords
Renewable energy; Energy storage system; Probabilistic reliability evaluation
Citation
IFAC PAPERSONLINE, v.51, no.28, pp 534 - 539
Pages
6
Indexed
SCOPUS
Journal Title
IFAC PAPERSONLINE
Volume
51
Number
28
Start Page
534
End Page
539
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/13217
DOI
10.1016/j.ifacol.2018.11.758
ISSN
2405-8963
Abstract
The contribution of renewable energy resources to the power system reliability is influenced by the uncontrolled power supply from the highly variable energy sources. Power system reliability and stability can be decreased from the high wind penetration. In order to maintain the system reliability, energy storage systems (ESSs) can be used to smooth out the fluctuations and improve supply continuity. This paper is aimed to analyze the power system reliability in China, when the multi-ESSs are connected to the power system with large scale renewable energy. The research is focused on developing reliability models for evaluating the benefits associated with wind turbine generator (WTG) and ESS in power systems. An interactive method using a Monte Carlo simulation (MCS) method that incorporates WTG and ESS operating strategies is developed and employed in this research. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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