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Volumn 33, Issue 10, 2013, Pages 18-26

Capacity credit evaluation of wind generation considering wind speed variation characteristics

Author keywords

Capacity credit; Cumulant method; Latin hypercube sampling (LHS); Wind generation; Wind speed variation characteristics

Indexed keywords

WIND POWER;

EID: 84877660847     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (30)

References (25)
  • 1
    • 84877667356 scopus 로고    scopus 로고
    • The 12th 5-year planning of renewable energy
    • Chinese source. National Development and Reform Commission. Beijing: National Development and Reform Commission
    • National Development and Reform Commission. The 12th 5-year planning of renewable energy [R]. Beijing: National Development and Reform Commission, 2011 (in Chinese).
    • (2011)
  • 2
    • 78649564492 scopus 로고    scopus 로고
    • Accommodating high levels of variable generation
    • Integration of Variable Generation Task Force. Princeton: North American Electric Reliability Corporation
    • Integration of Variable Generation Task Force. Accommodating high levels of variable generation [R]. Princeton: North American Electric Reliability Corporation, 2009.
    • (2009)
  • 3
    • 84868619799 scopus 로고    scopus 로고
    • Moving toward consensus on a photovoltaic generation capacity valuation methodology
    • Washington: United States Department of Energy
    • Perez R, Taylor M, Hoff T, et al. Moving toward consensus on a photovoltaic generation capacity valuation methodology [R]. Washington: United States Department of Energy, 2008.
    • (2008)
    • Perez, R.1    Taylor, M.2    Hoff, T.3
  • 4
    • 80555155679 scopus 로고    scopus 로고
    • Current status and development trend of capacity credit of photovoltaic generation
    • Chinese source
    • Liang Shuang, Hu Xuehao, Zhang Dongxia, et al. Current status and development trend of capacity credit of photovoltaic generation [J]. Automation of Electric Power Systems, 2011, 35(19): 101-107 (in Chinese).
    • (2011) Automation of Electric Power Systems , vol.35 , Issue.19 , pp. 101-107
    • Liang, S.1    Hu, X.2    Zhang, D.3
  • 5
    • 15944417978 scopus 로고    scopus 로고
    • Modeling utility-scale wind power plants, Part 2: Capacity credit
    • Golden: National Renewable Energy Laboratory(NREL)
    • Milligan M. Modeling utility-scale wind power plants, part 2: capacity credit [R]. Golden: National Renewable Energy Laboratory(NREL), 2002.
    • (2002)
    • Milligan, M.1
  • 6
    • 84975475745 scopus 로고    scopus 로고
    • Impact of integrating the photovoltaic and wind energy sources on generation system reliability and operation economics
    • Perth, Australia: IEEE PES
    • Jain A, Choi J, Kim B. Impact of integrating the photovoltaic and wind energy sources on generation system reliability and operation economics [C]//International Conference on Power System Technology. Perth, Australia: IEEE PES, 2002: 2437-2442.
    • (2002) International Conference on Power System Technology , pp. 2437-2442
    • Jain, A.1    Choi, J.2    Kim, B.3
  • 7
    • 21444440115 scopus 로고    scopus 로고
    • Research on the capacity credit of wind energy resources
    • Chinese source
    • Wang Haicha, Lu Zongxiang, Zhou Shuangxi. Research on the capacity credit of wind energy resources [J]. Proceedings of the CSEE, 2005, 22(10): 103-106 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.22 , Issue.10 , pp. 103-106
    • Wang, H.1    Lu, Z.2    Zhou, S.3
  • 8
    • 77954095996 scopus 로고    scopus 로고
    • Calculation of wind-farm capacity credit considering transmission line faults
    • Chinese source
    • Zhang Shuo, Li Gengyin, Zhou Ming. Calculation of wind-farm capacity credit considering transmission line faults [J]. Proceedings of the CSEE, 2010, 30(16): 19-25 (in Chinese).
    • (2010) Proceedings of the CSEE , vol.30 , Issue.16 , pp. 19-25
    • Zhang, S.1    Li, G.2    Zhou, M.3
  • 9
    • 84877677289 scopus 로고    scopus 로고
    • The research on capacity credit evaluation of intermittent energy
    • Chinese source. Beijing: China Electric Power Research Institute
    • Shen Hong, Liang Shuang, Fang Xin, et al. The research on capacity credit evaluation of intermittent energy [J]. Beijing: China Electric Power Research Institute, 2010 (in Chinese).
    • (2010)
    • Shen, H.1    Liang, S.2    Fang, X.3
  • 10
    • 21444459898 scopus 로고    scopus 로고
    • Study on the algorithm to the probabilistic distribution parameters of wind speed in wind farms
    • Chinese source
    • Ding Ming, Wu Yichun, Zhang Lijun. Study on the algorithm to the probabilistic distribution parameters of wind speed in wind farms [J]. Proceedings of the CSEE, 2005, 25(10): 107-110 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.25 , Issue.10 , pp. 107-110
    • Ding, M.1    Wu, Y.2    Zhang, L.3
  • 11
    • 84877640180 scopus 로고    scopus 로고
    • Adequacy assessment of composite generation and transmission systems incorporating wind energy conversion systems
    • Saskatoon: University of Saskatchewan
    • Yi Gao. Adequacy assessment of composite generation and transmission systems incorporating wind energy conversion systems [D]. Saskatoon: University of Saskatchewan, 2010.
    • (2010)
    • Yi, G.1
  • 12
    • 0036069990 scopus 로고    scopus 로고
    • A sequential simulation method for the generating capacity adequacy evaluation of small stand-alone wind energy conversion systems
    • Winnipeg, Manitoba, Canada: IEEE Canada Association
    • Billinton R B. A sequential simulation method for the generating capacity adequacy evaluation of small stand-alone wind energy conversion systems [C]//IEEE CCECE02 Proceedings. Winnipeg, Manitoba, Canada: IEEE Canada Association, 2002.
    • (2002) IEEE CCECE02 Proceedings
    • Billinton, R.B.1
  • 13
    • 84877667883 scopus 로고    scopus 로고
    • Adequacy evaluation of power generation system with wind farm based on sequential and stochastic wind speed models
    • Chinese source
    • Yang Yilei, Yao Peng, Guo Xiaobo. Adequacy evaluation of power generation system with wind farm based on sequential and stochastic wind speed models [J]. Modern Electric Power, 2012, 29(1): 72-76 (in Chinese).
    • (2012) Modern Electric Power , vol.29 , Issue.1 , pp. 72-76
    • Yang, Y.1    Yao, P.2    Guo, X.3
  • 14
    • 77952831930 scopus 로고    scopus 로고
    • Methodology of wind energy resource assessment for wind farm
    • Chinese source. National Technical Committee on Energy Fundamentals and Management of Standardization Administration of China-New and Renewable Energy Subcommittee. GB/T 18710-2002. Beijing: China Standard Press
    • National Technical Committee on Energy Fundamentals and Management of Standardization Administration of China-New and Renewable Energy Subcommittee. GB/T 18710-2002 Methodology of wind energy resource assessment for wind farm [S]. Beijing: China Standard Press, 2002 (in Chinese).
    • (2002)
  • 15
    • 84877655589 scopus 로고    scopus 로고
    • Analysis on different computing method of wind speed of the representative year in wind farm
    • Chinese source
    • Du Yanjun, Feng Changqing. Analysis on different computing method of wind speed of the representative year in wind farm [J]. Renewable Energy Resources, 2010, 28(1): 105-108 (in Chinese).
    • (2010) Renewable Energy Resources , vol.28 , Issue.1 , pp. 105-108
    • Du, Y.1    Feng, C.2
  • 16
    • 84877638219 scopus 로고    scopus 로고
    • The estimation algorithm on the probabilistic distribution parameters of wind speed based on Weibull distribution
    • Chinese source
    • Gong Weijun, Li Weixiang, Zhang Guangming. The estimation algorithm on the probabilistic distribution parameters of wind speed based on Weibull distribution [J]. Renewable Energy Resources, 2011, 29(6): 20-23 (in Chinese).
    • (2011) Renewable Energy Resources , vol.29 , Issue.6 , pp. 20-23
    • Gong, W.1    Li, W.2    Zhang, G.3
  • 17
    • 0004014699 scopus 로고
    • Chinese source. Beijing: China Water Power Press
    • Wang Xifan. Power system optimization planning [M]. Beijing: China Water Power Press, 1990: 138-149 (in Chinese).
    • (1990) Power System Optimization Planning , pp. 138-149
    • Wang, X.1
  • 18
    • 77952233983 scopus 로고    scopus 로고
    • Probabilistic calculation of total transfer capability including large-scale solar park
    • Chinese source
    • Wang Min, Ding Ming. Probabilistic calculation of total transfer capability including large-scale solar park [J]. Automation of Electric Power Systems, 2010, 34(7): 31-35 (in Chinese).
    • (2010) Automation of Electric Power Systems , vol.34 , Issue.7 , pp. 31-35
    • Wang, M.1    Ding, M.2
  • 19
    • 0010831911 scopus 로고
    • Generalized asymptotic expansions of Corner-Fisher type
    • Hill G W, Davis A W. Generalized asymptotic expansions of Corner-Fisher type [J]. The Annals of Mathematical Statistics, 1968, 39(4): 1264-1273.
    • (1968) The Annals of Mathematical Statistics , vol.39 , Issue.4 , pp. 1264-1273
    • Hill, G.W.1    Davis, A.W.2
  • 20
    • 21444435606 scopus 로고    scopus 로고
    • Methodology study on grid connected wind power planning
    • Chinese source. Beijing: China Electric Power Research Institute
    • Chen Shuyong. Methodology study on grid connected wind power planning [D]. Beijing: China Electric Power Research Institute, 1998 (in Chinese).
    • (1998)
    • Chen, S.1
  • 21
    • 77950561287 scopus 로고    scopus 로고
    • Reliability modeling of large-scale wind farms
    • Chinese source
    • Zhang Shuo, Li Gengyin, Zhou Ming, et al. Reliability modeling of large-scale wind farms [J]. Power System Technology, 2009, 33(13): 37-41, 53 (in Chinese).
    • (2009) Power System Technology , vol.33 , Issue.13
    • Zhang, S.1    Li, G.2    Zhou, M.3
  • 23
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • Mckay M D, Beckman R J, Conover W J. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code [J]. Technometrics, 1979, 21(2): 239-245.
    • (1979) Technometrics , vol.21 , Issue.2 , pp. 239-245
    • Mckay, M.D.1    Beckman, R.J.2    Conover, W.J.3
  • 24
    • 71949112474 scopus 로고    scopus 로고
    • A probabilistic load flow calculation method with Latin hypercube sampling
    • Chinese source
    • Yu Han, Zhong Zhiyong, Huang Jiebo, et al. A probabilistic load flow calculation method with Latin hypercube sampling [J]. Automation of Electric Power Systems, 2009, 33(21): 32-35, 81 (in Chinese).
    • (2009) Automation of Electric Power Systems , vol.33 , Issue.21 , pp. 32-35
    • Yu, H.1    Zhong, Z.2    Huang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.