Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFang, Sidunen_US
dc.contributor.authorXu, Yanen_US
dc.contributor.authorWen, Shulien_US
dc.contributor.authorZhao, Tianyangen_US
dc.contributor.authorWang, Hongdongen_US
dc.contributor.authorLiu, Luen_US
dc.identifier.citationFang, S., Xu, Y., Wen, S., Zhao, T., Wang, H. & Liu, L. (2019). Data-driven robust coordination of generation and demand-side in photovoltaic integrated all-electric ship microgrids. IEEE Transactions On Power Systems, 35(3), 1783-1795.
dc.description.abstractFully electrified ships, which is known as the 'all-electric ships (AESs)', have the potentials to bring great economic /environmental benefits. To further improve the energy efficiency of AESs, PV generations are gradually integrated, which introduces uncertainties to the AES operation. However, current researches mostly focus on sizing problem whereas rarely concern the operation. In this perspective, a data-driven robust coordination of generation and demand-side is proposed to properly address the onboard PV generation uncertainties as well as reducing the fuel cost of AESs, which consists of an extreme learning machine (ELM) based PV uncertainty forecasting method and a two-stage operating framework, where the first stage for the worst PV generation case and the second stage targets at the uncertainty realization. A 4-DG AES is implemented into the case study and the simulation results show that the ELM-based method can well characterize the PV uncertainties, and the two-stage operating framework can well accommodate the onboard PV uncertainties. Further analysis also demonstrates the proposed method has enough flexibility when facing working condition variations.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relation2019- T1-001-069 (RG75/19)en_US
dc.relation.ispartofIEEE Transactions on Power Systemsen_US
dc.rights© 2019 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleData-driven robust coordination of generation and demand-side in photovoltaic integrated all-electric ship microgridsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.subject.keywordsAll-Electric Shipen_US
dc.subject.keywordsMobile Microgriden_US
dc.description.acknowledgementThis work was supported in part by the Ministry of Education, Republic of Singapore, under Grant AcRF TIER 1 2019- T1-001-069 (RG75/19), and in part by National Research Foundation (NRF) of Singapore under Project NRF2018-SR2001-018. The work of Y. Xu was supported by Nanyang Assistant Professorship from Nanyang Technological University, Singapore. The work of S. Fang was supported by the Open Funding of Key Laboratory of Maritime Intelligent Equipment and System, Ministry of Education, Shanghai Jiao Tong University. Paper no. TPWRS-01765-2018.en_US
item.fulltextNo Fulltext-
Appears in Collections:EEE Journal Articles

Citations 10

Updated on Sep 25, 2023

Web of ScienceTM
Citations 10

Updated on Sep 27, 2023

Page view(s)

Updated on Sep 26, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.