引用本文:赵继超,袁 越,傅质馨,孙纯军,钱 康,许文超.基于Copula理论的风光互补发电系统可靠性评估[J].电力自动化设备,2013,33(1):
ZHAO Jichao,YUAN Yue,FU Zhixin,SUN Chunjun,QIAN Kang,XU Wenchao.Reliability assessment of wind-PV hybrid generation system based on Copula theory[J].Electric Power Automation Equipment,2013,33(1):
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基于Copula理论的风光互补发电系统可靠性评估
赵继超1,2, 袁 越1,2, 傅质馨1,2, 孙纯军3, 钱 康3, 许文超3
1.河海大学 能源与电气学院,江苏 南京 211100;2.河海大学 可再生能源发电技术教育部工程研究中心,江苏 南京 210098;3.江苏省电力设计院,江苏 南京 211102
摘要:
提出应用Copula理论建立风电场、光伏电站出力联合概率分布模型的方法。该方法不仅考虑了风电场、光伏电站出力的随机性,并且计及两者出力的相关性。根据某风光互补电站的实测出力数据,采用非参数核密度估计法,估计风电场、光伏电站出力的概率分布。选取Kendall秩相关系数作为风电场、光伏电站出力的相关性测度。利用Frank Copula函数,计算风电场、光伏电站出力的联合概率分布。以RBTS标准测试系统作为算例,对风光互补发电系统进行可靠性评估,结果表明:建立的模型能够较好地描述风光互补发电系统出力的概率特性,且考虑相关性的可靠性评估更接近实际情况。
关键词:  Copula理论  核密度估计  相关性分析  风光互补  风电场  可靠性  评估
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Reliability assessment of wind-PV hybrid generation system based on Copula theory
ZHAO Jichao,YUAN Yue,FU Zhixin,SUN Chunjun,QIAN Kang,XU Wenchao
1.College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China Research Center for Renewable Energy Generation Engineering of Ministry of Education,Hohai University,Nanjing 210098,China;2.Jiangsu Electric Power Design Institute,Nanjing 211102,China
Abstract:
A joint probability distribution model based on Copula theory is proposed for the power output of wind-PV hybrid generation system,which considers the probabilistic nature of wind and PV power outputs and their correlation properties as well. The Kernel density estimation method is applied to estimate the probability densities of wind and PV power outputs based on the measured data of a real wind-PV hybrid generation system. The Kendall rank correlation coefficient is selected to measure the correlation between wind and PV powers. The Frank Copula function is used to calculate the joint probability distribution of wind and PV power outputs. Reliability assessment is carried out for the RBTS(Roy Billinton Test System) and results demonstrate that the proposed model can properly describe the probabilistic nature of wind-PV hybrid generation system and the reliability assessment considering their correlation properties is closer to real situation.
Key words:  Copula theory  Kernel density estimation  correlation analysis  wind-PV hybrid system  wind farms  reliability  assessment

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