基于运行数据的风电机组间风速相关性统计分析

doi:10.19595/j.cnki.1000-6753.tces.161443

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Abstract

Statistical analysis for wind speed correlation (WSC) between wind turbines has guiding significance to wind farm equivalence modeling, wind velocity/power prediction and wind farm cluster control optimization. In view of the situation that the research for WSC analysis is rarely carried out, a method that sets power output for tuning index is proposed for wind turbines data cleaning and tuning in this paper. Then based on the theory of Copula function, the calculation method for WSC coefficient between wind turbines has been established. Finally, the case study is carried out based on the operation data of a wind farm in Zhangbei area. The statistical analysis results show that the data cleaning and turning method presented in the paper, which can effectively eliminate the influence of abnormal data and significantly improve the quality of the basic data for WSC analysis; and the WSC coefficient between the same wind turbine have major variability under different time scale, wind velocity and wind direction, the correlation of this case can up to 0.96 and the minimum is reduced to 0.55 in the studied case. The time variation and difference of WSC coefficient between wind turbines have a great influence on the accuracy of equivalent modeling of wind farm and wind velocity/power based on WSC coefficient.

Key words： Wind turbines wind speed correlation Copula function statistical calculation

Received: 27 July 2016 Published: 30 August 2017

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TM614

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161443 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I16/265

[1] Bechrakis D A, Sparis P D. Correlation of wind speed between neighboring measuring stations[J]. IEEE Transactions on Energy Conversion, 2004, 19(2): 400-406.
[2] 秦志龙, 李文沅, 熊小伏. 考虑风速相关性的发输电系统可靠性评估[J]. 电力系统自动化, 2013, 37(16): 47-52.
Qin Zhilong, Li Wenyuan, Xiong Xiaofu. Reliability assessment of composite generation and transmission system considering wind speed correlation[J]. Auto- mation of Electric Power Systems, 2013, 37(16): 47-52.
[3] 吴巍, 汪可友, 韩蓓, 等. 基于Pair Copula的随机潮流三点估计法[J]. 电工技术学报, 2015, 30(9): 121-128.
Wu Wei, Wang Keyou, Han Bei, et al. Pair copula based three-point estimate method for probabilistic load flow calculation[J]. Transactions of China Electrotechnical Society, 2015, 30(9): 121-128.
[4] Qin Z, Li W, Xiong X. Generation system reliability evaluation incorporating correlations of wind speeds with different distributions[J]. IEEE Transactions on Power Systems, 2013, 28(1): 551-558.
[5] Xie K, Billinton R. Considering wind speed correlation of WECS in reliability evaluation using the time-shifting technique[J]. Electric Power Systems Research, 2009, 79(4): 687-693.
[6] 吴义纯, 丁明, 李生虎. 风电场对发输电系统可靠性影响的评估[J]. 电工技术学报, 2014, 19(11): 72-76.
Wu Yichun, Ding Ming, Li Shenghu. Reliability assessment of wind farms in generation and trans- mission systems[J]. Transactions of China Electro- technical Society, 2014, 19(11): 72-76.
[7] 范荣奇, 陈金富, 段献忠, 等. 风速相关性对概率潮流计算的影响分析[J]. 电力系统自动化, 2011, 35(4): 18-22.
Fan Rongqi, Chen Jinfu, Duan Xianzhong, et al. Impact of wind speed correlation on probabilistic load flow[J]. Automation of Electric Power Systems, 2011, 35(4): 18-22.
[8] 邓威, 李欣然, 徐振华, 等. 考虑风速相关性的概率潮流计算及影响分析[J]. 电网技术, 2012, 36(4): 45-50.
Deng Wei, Li Xinran, Xu Zhenhua, et al. Calculation of probabilistic load flow considering wind speed correlation and analysis on influence of wind speed correlation[J]. Power System Technology, 2012, 36(4): 45-50.
[9] 石东源, 蔡德福, 陈金富, 等. 计及输入变量相关性的半不变量法概率潮流计算[J]. 中国电机工程学报, 2012, 32(28): 104-113.
Shi Dongyuan, Cai Defu, Chen Jinfu, et al. Pro- babilistic load flow calculation based on cumulant method considering correlation between input variables[J]. Proceedings of the CSEE, 2012, 32(28): 104-113.
[10] Li Y, Li W, Yan W, et al. Probabilistic optimal power flow considering correlations of wind speeds following different distributions[J]. IEEE Transactions on Power Systems, 2014, 29(4): 1847-1854.
[11] 杨天, 王京波, 宋少帅, 等. 考虑风速相关性的电力系统动态经济调度[J].电工技术学报, 2016, 31(16): 189-197.
Yang Tian, Wang Jingbo, Song Shaoshuai, et al. Dynamic economic dispatch of power system considering the correlation of the wind speed[J]. Transactions of China Electrotechnical Society, 2016, 31(16): 189-197.
[12] 徐玉琴, 陈坤, 李俊卿, 等. Copula函数与核估计理论相结合分析风电场出力相关性的一种新方法[J]. 电工技术学报, 2016, 31(13): 92-100.
Xu Yuqin, Chen Kun, Li Junqing, et al. A new method analyzing output correlation of multi-wind farms based on combination of Copula function and kernel estimation theory[J]. Transactions of China Electro- technical Society, 2016, 31(13): 92-100.
[13] Chen F, Li F, Wei Z, et al. Reliability models of wind farms considering wind speed correlation and WTG outage[J]. Electric Power Systems Research, 2015, 119: 385-392.
[14] Sun C, Bie Z, Xie M, et al. Fuzzy Copula model for wind speed correlation and its application in wind curtailment evaluation[J]. Renewable Energy, 2016, 93: 68-76.
[15] 谢敏, 熊靖, 刘明波, 等. 基于Copula的多风电场出力相关性建模及其在电网经济调度中的应用[J]. 电网技术, 2016, 40(4): 1100-1106.
Xie Min, Xiong Jing, Liu Mingbo, et al. Modeling of multi wind farm output correlation based on Copula and its application in power system economic dispatch[J]. Power System Technology, 2016, 40(4): 1100-1106.
[16] 李玉敦, 谢开贵, 胡博. 基于Copula函数的多维时序风速相依模型及其在可靠性评估中的应用[J]. 电网技术, 2013, 37(3): 840-846.
Li Yudun, Xie Kaigui, Hu Bo. A Copula function- based dependent model for multivariate wind speed time series and its application in reliability assessment[J]. Power System Technology, 2013, 37(3): 840-846.
[17] 朱倩雯, 叶林, 赵永宁, 等. 风电场输出功率异常数据识别与重构方法研究[J]. 电力系统保护与控制, 2015, 43(3): 38-45.
Zhu Qianwen, Ye Lin, Zhao Yongning, et al. Methods for elimination and reconstruction of abnormal power data in wind farms[J]. Power System Protection and Control, 2015, 43(3): 38-45.
[18] 黎静华, 文劲宇, 程时杰, 等. 考虑多风电场出力Copula相关关系的场景生成方法[J]. 中国电机工程学报, 2013, 33(16): 30-36. Li Jinghua, Wen Jinyu, Cheng Shijie, et al. A scene generation method considering Copula correlation relationship of multi-wind farms power[J]. Proceedings of the CSEE, 2013, 33(16): 30-36.
[19] Li J, Wen J, Cheng S, et al. A scene generation method considering Copula correlation relationship of multi-wind farms power[J]. Proceedings of the CSEE, 2013, 33(16): 30-36.
[20] 陈妮亚, 钱政, 孟晓风, 等. 基于空间相关法的风电场风速多步预测模型[J]. 电工技术学报, 2013, 28(5): 15-21.
Chen Niya, Qian Zheng, Meng Xiaofeng, et al. Multi-step ahead wind speed forecasting model based on spatial correlation and support vector machine[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 15-21.
[21] 季峰, 蔡兴国, 王俊. 基于混合Copula函数的风电功率相关性分析[J]. 电力系统自动化, 2014, 38(2): 1-5.
Ji Feng, Cai Xingguo, Wang Jun. Wind power correlation analysis based on hybrid Copula[J]. Automation of Electric Power Systems, 2014, 38(2): 1-5.
[22] 王小红, 周步祥, 张乐, 等. 基于时变Copula函数的风电出力相关性分析[J]. 电力系统及其自动化学报, 2015, 27(1): 43-48.
Wang Xiaohong, Zhou Buxiang, Zhang Le, et al. Wind power correlation analysis based on time- variant Copula function[J]. Proceedings of the CSU- EPSA, 2015, 27(1): 43-48.
[23] 沈小军, 周冲成, 吕洪. 大型风电场风电机组分组方法研究综述[J]. 电气工程学报, 2016, 11(5): 1-10.
Shen Xiaojun, Zhou Chongcheng, Lü Hong. Review on grouping method of large wind farm wind turbine generators[J]. Journal of Electrical Engineering, 2016, 11(5): 1-10.
[24] 曹娜, 于群. 风速波动情况下并网风电场内风电机组分组方法[J]. 电力系统自动化, 2012, 36(2): 42-46.
Cao Na, Yu Qun. A grouping method for wind turbine in a grid-connected wind farm during wind speed fluctuation[J]. Automation of Eletric Power Systems, 2012, 36(2): 42-46.
[25] 曹张洁, 向荣, 谭谨, 等. 大规模并网型风电场等值建模研究现状[J]. 电网与清洁能源, 2011, 27(2): 56-60.
Cao Zhangjie, Xiang Rong, Tan Jin, et al. Review of current research on equivalent modeling of large- scale grid-connected wind farm[J]. Power System and Clean Energy, 2011, 27(2): 56-60.
[26] 雷若冰, 徐箭, 孙辉, 等. 基于相关性分析的风电场群风速分布预测方法[J]. 电力自动化设备, 2016, 36(5): 134-140.
Lei Ruobing, Xu Jian, Sun Hui, et al. Wind speed distribution forecasting based on correlation analysis for wind farm group[J]. Electric Power Automation Equipment, 2016, 36(5): 134-140.