汪海瑛;白晓民;马纲;

• 1:强电磁工程与新技术国家重点实验室(华中科技大学)
• 2:中国电力科学研究院
• 3:国电电力宁夏风电开发有限公司

摘要(Abstract)：

太阳能光伏发电是继风力发电后另外一个被寄予厚望以代替传统发电的可再生能源发电技术。它异于常规电源的运行特性使得关于它的系统发电充裕度评估技术与传统方法有所不同。基于序贯蒙特卡洛方法,综合考虑影响光伏功率输出的主要因素:太阳光辐照度的时变特性、光伏面板的输出功率特性、环境温度的年度变化特性和光伏电站的配置等,建立了光伏电站的发电可靠性评估模型。在Matlab中编制程序,并将上述模型加入RBTS可靠性测试系统中进行仿真计算,评估增加光伏后的系统可靠性,同时在该结果基础之上对系统承载峰荷能力进行研究,从而给出并网光伏可靠性收益客观评价。

关键词(KeyWords)： 光伏发电系统;可靠性;蒙特卡洛仿真;峰荷承载能力

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 汪海瑛;白晓民;马纲;

Email:

DOI: 10.13335/j.1000-3673.pst.2012.10.013

参考文献(References)：

• [1]许洪华.中国光伏发电技术发展研究[J].电网技术,2007,31(20):77-81.Xu Honghua.The study on development of PV technology in China[J].Power System Technology,2007,31(20):77-81(in English).
• [2]李俊峰.风光无限:中国风电发展报告2011[M].北京:中国环境科学出版社,2011:85-86.
• [3]European Renewable Energy Council.RE-thinking 2050:a 100%renewable energy vision for the European Union[R].Belgium:EREC,2010.
• [4]李文沅.电力系统风险评估:模型、方法和应用[M].北京:科学出版社,2006:79-87.
• [5]Billinton R,Chen H,Ghajar R.A sequential simulation technique foradequacy evaluation of generating systems including wind energy[J].IEEE Trans on Energy Conversion,1996,11(4):728-734.
• [6]Tina G M,Gagliano S,Raiti S.Hybrid solar wind power systemprobabilistic modeling for long-term performance assessment[J].Solar Energy,2006,80(5):578-588.
• [7]Jeongje P,Wu Liang,Jaeseok C,et al.A probabilistic reliabilityevaluation of a power system including solar/photovoltaic cellgenerator[C]//IEEE Power&Energy Society GeneralMeeting.Calgary,Canada:IEEE,2009:5-10.
• [8]赵争鸣,刘建政,孙晓瑛,等.太阳能光伏发电及其应用[M].北京:科学出版社,2005:43-57.
• [9]Graham V A,Hollands K G T.A method to generate synthetic hourlysolar radiation globally[J].Solar Energy,1990,44(6):333-341.
• [10]Duffie J A,Beckman W A.Solar engineering of thermal process(second edition)[M].New York:John Wiley&Sons,Inc,1991:91-98.
• [11]Tina G M,Gagliano S.Probabilistic modelling of hybrid solar windpower system with solar tracking system[J].Renewable Energy,2011,36(6):1719-1727.
• [12]Orgill J F,Hollands K G T.Correlation equation for hourly diffuseradiation on a horizontal surface[J].Solar Energy,1977,19(4):357-359.
• [13]Hollands K G T,Huget R G.A probability density function for theclearness index with applications[J].Solar Energy,1983,30(3):195-209.
• [14]Moharil R M,Kulkarni P S.Reliability analysis of solar photovoltaicsystem using hourly mean solar radiation data[J].Solar Energy,2010,84(4):691-702.
• [15]Cha S T,Jeon D H,Bae I S,et al.Reliability Evaluation ofDistribution System Connected Photovoltaic Generation ConsideringWeather Effects[C]//8th International Conference on ProbabilisticMethods Applied to Power Systems.Iowa,US:Iowa StateUniversity,2004:451-456.
• [16]Masters G M.Renewable and efficient electric power systems[M].New Jersey:John Wiley&Sons Inc.,2004:473-477.
• [17]潘迪特S M,吴宪明.时间序列及系统分析与应用[M].北京:机械工业出版社,1988:28-31.
• [18]Karki R,Hu P,Billinton R.Reliability evaluation considering windand hydro power coordination[J].IEEE Trans on Power Systems,2010,25(2):685-693.
• [19]姜会飞,温德永,李楠,等.利用正弦分段法模拟气温日变化[J].气象与减灾研究,2010,33(3):61-65.Jiang Huifei,Wen Deyong,Li Nan,et al.A new simulation methodfor the diurnal variation of temperature sub-sine simulation[J].Meteorology and Disaster Reduction Research,2010,33(3):61-65(in Chinese).
• [20]Billinton R,Kumar S,Chowdhury N,et al.A reliability test systemfor educational purposes-basic data[J].IEEE Trans on PowerSystems,1989,4(3):1238-1244.
• [21]A report prepared by the Reliability Test System Task Force of theapplication of probability methods subcommittee.IEEE reliability testsystem[J].IEEE Trans on Power Apparatus and Systems,1979,98(6):2047-2054.