Review of Power System Analysis Methods Considering Correlation of Wind-Photovoltaic-Load

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Abstract:

Close attention has been paid to the power generation using renewable energy such as the widespread energy and solar energy. After the integration of large-scale renewable energy, more uncertain factors are brought to the power system, which badly influences systems planning and operation. The wind power, photovoltaic power and load are random but correlative, therefore, it is more logical to study the influence exerted by the integration of renewable energy when considering the uncertainty and it is meaningful to the power systems planning and operation. Based on the summary and survey of previous studies, the technical route of power system analysis concerning the correlation of wind power, photovoltaic power and load is proposed in this paper and some key technologies are discussed. The study of correlation offers valuable analysis and recommendations to the connection of large-scale wind and solar power base.

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Advanced Materials Research (Volumes 860-863)

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2088-2094

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] XIAO Chuangying, WANG Ningbo, ZHI Jing, DING Kun. Power Characteristics of Jiuquan Wind Power Base[J]. Automation of Electric Power Systems, 2010, 17: 64-67.

Google Scholar

[2] YU Dayang, HAN Xueshan, LIANG Jun, SONG Shuguang. Study on the Profiling of China's Regional Wind Power Fluctuation Using GEOS-5 Data Assimilation System of National Aeronautics and Space Administration of America[J]. Automation of Electric Power Systems, 2011, 05: 77-81.

Google Scholar

[3] Song Honglei, Wu Junyong, JiLuyu, et al. Multi-Objective Optimal Sizing of Stand-Alone Hybrid Wind/PV System[J]. Transactions of China Electro technical Society, 2011, 07: 104-111.

Google Scholar

[4] Zechun Hu; Xifan Wang. A Probabilistic Load Flow Method Considering Branch Outages[J]. IEEE Transactions on Power Systems, 2006, 21(2): 507-514.

DOI: 10.1109/tpwrs.2006.873118

Google Scholar

[5] ZHOU Jianhua, YUAN Yue. Probabilistic Load Flow Calculation Based on Cornish-Fisher Expansion for Power System with Wind Farm[J]. Electric Power Automation Equipment, 2011, 12: 68-71.

Google Scholar

[6] ZHAO Jichao, YUAN Yue, FU Zhixin, SUNChunjun, QIAN Kang, XU Wenchao. Reliability Assessment of Wind-PV Hybrid Generation System Based on Copula Theory [J]. Electric Power Automation Equipment, 2013, 01: 124-129.

Google Scholar

[7] LIANG Shuang, HU Xuehao, ZHANG Dongxia, WANG Haohuai, ZHANG Hongyu. Probabilistic Models Based Evaluation Method for Capacity Credit of Photovoltaic Generation[J]. Automation of Electric Power Systems, 2012, 13: 32-37.

Google Scholar

[8] Gao Y., Billinton R. Adequacy Assessment of Generating Systems Containing Wind Power Considering Wind Speed Correlation[J]. IET Renewable Power Generation, 2009, 3(2): 217-226.

DOI: 10.1049/iet-rpg:20080036

Google Scholar

[9] LEI Ya-zhou, WANG Wei-sheng, YIN Yong-hua, DAI Hui-zhu. Wind Power Penetration Limit Calculation Based on Chance Constrained Programming [J]. Proceedings of the CSEE, 2002, 05: 33-36.

Google Scholar

[10] DING Ming, WU Yi-chun, ZHANG Li-jun. Study on the Algorithm to the Probabilistic Distribution Parameters of Wind Speed in Wind Farms [J]. Proceedings of the CSEE, 2005, 10: 107-110.

Google Scholar

[11] J.A. Carta, P. Ramírez , S. Velázquez. A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands[J]. Renewable and Sustainable Energy Reviews, 2009.

DOI: 10.1016/j.rser.2008.05.005

Google Scholar

[12] S. Rahman, M.A. Khallat, Z.M. Salameh. Characterization of Insolation Data for Use in Photovoltaic System Analysis Models, Energy, 1988, 13: 1-114.

DOI: 10.1016/0360-5442(88)90079-5

Google Scholar

[13] Li, W., Billinton R. Effect of Bus Load Uncertainty and Correlation in Composite System Adequacy Evaluation[J]. IEEE Transactions on Power Systems, (1991).

DOI: 10.1109/59.116999

Google Scholar

[14] Zhao Yuan, Zhang Xiafei, Zhou Jiaqi.Load modeling utilizing nonparametric and multivariate kernel density estimation in bulk power system reliability evaluation[J].Proceedings of the CSEE, 2009, 26(31): 27-33.

Google Scholar

[15] Ding Ming, Zhang Jing, Li Shenghu. A sequential Monte-Carlo simulation based reliability evaluation model for distribution network [J]. Power System Technology, 2004, 28(3): 38-42.

Google Scholar

[16] YANG Hongming, WANG Shuang, YI Dexin, et al. Stochastic Optimal Dispatch of Power System Considering Multi-wind Power Correlation[J]. Electric Power Automation Equipment, 2013, 33(1): 114-120.

Google Scholar

[17] Li YuDun. Wind Speed Models Considering Dependence and Their Applications in Reliability Evaluation of Generating Systems[D]. Chongqing University, (2012).

Google Scholar

[18] LI Jinghua, WEN Jinyu, CHENG Shijie, WEI Hua. A Scene Generation Method Considering Copula Correlation Relationship of Multi-wind Farms Power[J]. Proceedings of the CSEE, 2013, 16: 30-36.

Google Scholar

[19] Lin Li, Sun Caixin, Wang Yongping, et al. Calculation Analysis and Control Strategy for Voltage Stability of Power Grid with Large Capacity Wind Farm Interconnected[J]. Power System Technology, 2008, 32(3): 41-46.

Google Scholar

[20] Dong Lei, Cheng Weidong, Yang Yihan.Probabilistic Load Flow Calculation for Power Grid Containing Wind Farms[J]. Power System Technology, 2009, 33(16): 87-91.

Google Scholar

[21] TIAN Hongxun, YUAN Rong, ZHAO Yuan. Computation of Probability Distribution for Reliability Indices of Distribution System Containing Distributed Generation[J]. Power System Technology, 2013, 06: 1562-1569.

Google Scholar

[22] Yu Kun, Cao Yijia, Chen Xingying, et al.Dynamic Probability Power Flow of District Grid Containing Distributed Generation[J].Proceedings of the CSEE, 2011, 31(1): 20-25.

Google Scholar

[23] Hu Zechun, Wang Xifan, Zhang Xian, et al.Probabilistic Load Flow Method Considering Branch Outages[J]. Proceedings of the CSEE, 2005, 25(24): 26-33.

Google Scholar

[24] Pei Zhang, Lee S.T. Probabilistic Load Flow Computation Using the Method of Combined Cumulants and Gram-Charlier Expansion[J]. IEEE Transactions on Power Systems, 2004, 19(1): 676-682.

DOI: 10.1109/tpwrs.2003.818743

Google Scholar

[25] Usaola J. Probabilistic Load Flow in Systems with Wind Generation[J]. IET Generation Transmission and Distribution, 2009, 3(12): 1031-1041.

DOI: 10.1049/iet-gtd.2009.0039

Google Scholar

[26] Chayakulkheeree Keerati. Probabilistic Optimal Power Flow with Weibull Probability Distribution Function of System Loading Using Percentiles Estimation[J]. Electric Power Components and Systems, 2013, 41(3): 252-270.

DOI: 10.1080/15325008.2012.742941

Google Scholar

[27] Zhang Jianfen, Wang Kewen, Zong Xiuhong, et al.Comparison and Analysis of Several Probabilistic Load Flow Approaches[J]. Journal of Zhengzhou University: Engineering Science, 2003, 24(4): 32-36.

Google Scholar

[28] ZHU Xingyang, LIU Wenxia, ZHANG Jianhua. Probabilistic Load Flow Method Considering Large-scale Wind Power Integration[J]. Proceedings of the CSEE, 2013, 07: 77-85.

Google Scholar