村级光伏扶贫电站运行状况分析
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摘要
村级光伏扶贫电站在提高电网供电能力上可作出巨大贡献。对河北省唐县54个村级光伏扶贫电站的运行状况进行了调查,并根据2017年12月到2018年2月光伏发电有功功率数据和各乡镇变压器的实时负荷数据,对日发电出力特性、容量效益、波动性以及与电网负荷曲线匹配方面进行了研究,得出了容量效益较差、波动性随天气因素影响变化较大的出力特性。同时,研究表明了光伏扶贫电站发电出力曲线与电网负荷曲线有较好的匹配关系,能够有效缓解电网高峰负荷压力。
Village-level photovoltaic poverty alleviation power stations have made great contributions to improving the power supply capacity of the power grid. This research investigated PV power generation data of 54 PV poverty alleviation power stations in Tang County of Hebei Province. And based on the active power data of PV power generation from December 2017 to February 2018 and real-time load data of transformers in each village, the output characteristics of daily power generation, capacity efficiency, volatility and matching with the grid load curve were researched, and it is concluded that the capacity benefit is poor and the fluctuation varies greatly with the influence of weather factors. At the same time, the research shows that the PV power generation output curve has a good matching relationship with the grid load curve, which can effectively alleviate the peak load pressure of the power grid.
Village-level photovoltaic poverty alleviation power stations have made great contributions to improving the power supply capacity of the power grid. This research investigated PV power generation data of 54 PV poverty alleviation power stations in Tang County of Hebei Province. And based on the active power data of PV power generation from December 2017 to February 2018 and real-time load data of transformers in each village, the output characteristics of daily power generation, capacity efficiency, volatility and matching with the grid load curve were researched, and it is concluded that the capacity benefit is poor and the fluctuation varies greatly with the influence of weather factors. At the same time, the research shows that the PV power generation output curve has a good matching relationship with the grid load curve, which can effectively alleviate the peak load pressure of the power grid.
引文
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[23] 王文森.变异系数——一个衡量离散程度简单而有用的统计指标[J].中国统计,2007,2007(6):41-42.
[24] 车远宏,贾雍,汤卓,等.皮尔逊相关系数在风电功率组合预测中的应用[J].广西电力,2016,39(3):50-53.
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[2] 王敬敏,张丽丽,张杰.基于年发电上网率的光伏发电项目并网经济性研究[J].电力与能源,2017,38(3):298-303.
[3] 王高峰,郑遥.光伏扶贫潮起[J].能源,2016(3):70-71.WANG Gaofeng,ZHENG Yao.PV Poverty Alleviation[J].Energy,2016(3):70-71.
[4] JU H,YU J.Energy Storage in Grid -connected PV System [J].Electronics World,2009(11):61.
[5] CHEN W,SHEN H.Applying Research of Storage Batteries in Photovoltaic System[J].Battery,2006(1):21-27.
[6] SANG N.The Influence of Small Photovoltaic Power Generation System on Power Grid[J].Shanghai Electric Power,2008(2):132-134.
[7] LI Z,BOYLE F,REYNOLDS A.Domestic Application of Solar PV Systems in Ireland:The Reality of their Economic Viability[J].Energy,2011,36(10):123-126.
[8] 王敏,宗炫君,袁越,等.含光伏电站的发电系统可靠性分析[J].中国电机工程学报,2013,33(34):42-49.
[9] 汪海瑛,白晓民,许婧.考虑风光储协调运行的可靠性评估[J].中国电机工程学报,2012,32(13):13-20.
[10] 汪海瑛,白晓民,马纲.并网光伏电站的发电可靠性评估[J].电网技术,2012,36(10) :1-5.
[11] 葛少云,王浩鸣,王源山,等.含分布式风光蓄的配电系统可靠性评估[J].电力系统自动化,2012,36(5) :16-23.
[12] 王敏,丁明.考虑分布式电源的静态电压稳定概率评估[J].中国电机工程学报,2010,30(25) :17-22.
[13] NING Y,ZHENG J.Research and Analysis on Comprehensive Output Characteristics of Photovoltaic Power Stations[J].Acta Energiae Solaris Sinica,2015,36(5):1197-1205.
[14] XU Y,ZHAN H,ZHANG R,et al.Analysis on the Output Power of Photovoltaic Cells Based on Simulation Model[J].Semiconductor Optoelectronics,2014,35(6):1115-1118.
[15] ZHOU Zhuan,YAO Xiuping,WANG Weiqing,et al.Analysis of Photovoltaic Power Station Output Characteristics Based on Temporal and Spatial Characteristics[J].Low Voltage Apparatus,2014(5):30-33.
[16] 王建学,张耀,万筱钟.光伏出力特性指标体系和分类典型曲线研究[J].电力需求侧管理,2017,19(5):8-12.
[17] JAMALY M,BOSCH J L,KLEISSL J,et al.Performance Analysis of Power Output of Photovoltaic Systems in San Diego County[J].IEEE Power & Energy Society General Meeting,2012,4(2):1-7.
[18] ZHANG X,LIU Q,MA H,et al.Analysis of Influencing Factors of Output Power of Photovoltaic PowerPlant[J].Power System And Clean Energy,2012,28(5):75-81.
[19] LIU Y,SUN Y,SANG J,et al.Diagnostic Analysis of Meteorological Factors Affecting Solar Photovoltaic Generation Power[J].Water Resources and Power,2011,29(12):200-202.
[20] CHEN Jian,SUN Ming,YANG Kun.Modeling and Output Analysis of Grid-Connected Photovoltaic Power Station[J].Electrical & Energy Management Technology,2016(1):32-37+87.
[21] 李青丽.分布式光伏发电项目成本收益分析[J].电力与能源,2018,3(5):667-670.
[22] 方鑫,郭强,张东霞,等.并网光伏电站置信容量评估[J].电网技术,2012,36( 9) :31-35.
[23] 王文森.变异系数——一个衡量离散程度简单而有用的统计指标[J].中国统计,2007,2007(6):41-42.
[24] 车远宏,贾雍,汤卓,等.皮尔逊相关系数在风电功率组合预测中的应用[J].广西电力,2016,39(3):50-53.
[25] 孙艳伟,王润,肖黎姗,等.中国并网光伏发电系统的经济性与环境效益[J].中国人口·资源与环境,2011,21(4):88-94.