Details of Research Outputs

TitleNetwork reinforcement for grid resiliency under extreme events
Author (Name in English or Pinyin)
Qiu, Jing1; Reedman, Luke J.1; Dong, Zhao Yang2; Meng, Ke2; Tian, Huiqiao3; Zhao, Junhua4
Date Issued2018-01-29
Conference Name2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Source PublicationIEEE Power Energy Soc. Gen. Meet.
Conference PlaceChicago, IL, United states
DOI10.1109/PESGM.2017.8273985
Indexed ByEI
Firstlevel Discipline动力与电气工程
Education discipline科技类
Published range国外学术期刊
Volume Issue Pagesv 2018-January,p1-5
References
[1] F. Rahimi and A. Ipakchi, "Demand response as a market resource under the smart grid paradigm," IEEE Trans. Smart Grid, vol. 1, no. 1, pp. 82-88, June 2010.
[2] C. Munoz, E. Sauma, J. Contreras, J. Aguado, and S. de la Torre, "Impact of high wind power penetration on transmission network expansion planning," IET Gen. Trans. & Dist., vol. 6, no. 12, pp. 1281-1291, Dec. 2012.
[3] M. Taherkhani and S. H. Hosseini, "Wind farm optimal connection to transmission systems considering network reinforcement using costreliability analysis," IET Renew. Power & Gen., vol. 7, no. 6, pp. 603-613, 2013.
[4] M. Moeini-Aghtaie, A. Abbaspour, and M. Fotuhi-Firuzabad, "Incorporating large-scale distant wind farms in probabilistic transmission expansion planning-Part I: Theory and Algorithm," IEEE Trans. Power Syst., vol. 27, no. 3, pp. 1585-1593, Aug. 2012.
[5] A. Arabali, M. Ghofrani, M. Etezadi-Amoli, M. S. Fadali, and M. Moeini-Aghtaie, "A multi-objective transmission expansion planning framework in deregulated power systems with wind generation," IEEE Trans. Power Syst., vol. 29, no. 6, pp. 3003-3011, Nov. 2014.
[6] G. A. Orfanos, P. Georgilakis, and N. D. Hatziargyriou, "Transmission expansion planning of systems with increasing wind power integration," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1355-1362, May 2013.
[7] O. Ozdemir, F. D. Munoz, J. L. Ho, and B. F. Hobbs, "Economic analysis of transmission expansion planning with price-responsive demand and quadratic losses by successive LP," IEEE Trans. Power Syst., vol. 31, no. 2, pp. 1096-1107, Mar. 2016.
[8] C. X. Li, Z. Y. Dong, G. Chen, F. J. Luo, and J. Liu, "Flexible transmission expansion planning associated with large-scale wind farms integration considering demand response," IET Gen. Trans. & Dist., vol. 9, no. 15, pp. 2276-2283, 2015.
[9] A. Eydeland and K. Wolyniec, Energy and Power Risk Management. Chichester, U.K.:Wiley, 2003.
[10] M. Ghofrani, A. Arabali, M. Etezadi-Amoli, and M. S. Fadali, "Energy storage application for performance enhancement of wind integration," IEEE Trans. Power Syst., vol. 28, no. 4, pp. 4803-4811, Nov. 2013.
[11] D. T. Nguyen, M. Negnevitsky, and M. d. Groot, "Market-based demand response scheduling in a degregulated environment," IEEE Trans. Smart Grid, vol. 4, no. 4, pp. 1948-1956, Dec. 2013.
[12] Y. Xu, Z. Y. Dong, R. Zhang, and K. P. Wong, "Solving preventivecorrective SCOPF by a hybrid computational strategy," IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1345-1355, May 2014.
[13] Q. Zhang and H. Li, "MOEA/D: a multiobjective evolutionary algorithm based on decomposition," IEEE Trans. Evol. Comput., vol. 11, no. 6, pp. 712-731, Dec. 2007.
[14] P. Maghouli, S. H. Hosseini, M. O. Buygi, and M. Shahidehpour, "A multi-objective framework for transmission expansion planning in deregulated environments," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 1051-1061, May 2009.
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/255
CollectionSchool of Science and Engineering
Affiliation
1.Commonwealth Scientific and Industrial Research, Organization (CSIRO), Mayfield West, Australia
2.Univeristy of Sydney, Sydney, Australia
3.Univerisyt of Newcastle, Newcaslte, Australia
4.Chinese University of Hong Kong (Shenzhen), Shenzhen Guangdong, China
Recommended Citation
GB/T 7714
Qiu, Jing,Reedman, Luke J.,Dong, Zhao Yanget al. Network reinforcement for grid resiliency under extreme events[C],2018.
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