太阳辐射对大型渔光互补光伏电站发电效益影响分析
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TK519

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国家重点研发计划(2019QZKK0804);国网江苏省电力有限公司科技项目(52100219001M)


Solar radiation influence on power generation benefit of large-scale fishery solar complementary photovoltaic power station
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    摘要:

    以江苏宝应生态渔业光伏发电"领跑者"示范基地为研究对象,定量分析了不同辐射指标对渔光互补光伏发电效益的影响机制.结果表明:太阳辐射对渔光互补光伏电站发电效益有着显著影响,且存在季节性波动,在夏秋季日并网峰值及发电量较大,稳定性较高,而冬春季发电效益和稳定性较差;太阳辐射指标与日并网功率最大值相关性较高,且呈明显对数关系,而日发电量与太阳辐射指标呈明显线性关系;不同月份并网功率最大值和发电量与平均辐照度、最大辐照度和累计辐照量均呈正相关关系,影响月并网功率峰值最为明显的是最大辐照度,而影响月发电量最为明显的指标是有效利用小时数.通过研究发现,在该地区开展光伏发电功率预测和前期太阳能资源开发利用评估时,可采用平均辐照度、最大辐照度、日累计辐照量3个指标作为参考指标.

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    The relationship between solar radiation indices and power generation efficiency were quantitatively studied in the fishery-solar hybrid photovoltaic power station in Baoying,Jiangsu.The results showed that solar radiation significantly impacted the power generation efficiency with visible seasonal fluctuations.Specifically,the daily peak of grid connected power and the power generation capacity were larger and more stable in summer and autumn,compared with those in winter and spring.Obvious logarithmic/linear correlation was observed between solar radiation indices and the daily peak grid connected power/daily power generation capacity,respectively.The daily peak of grid connected power and power generation capacity were correlated positively with average radiation,max radiation,and accumulated radiation in each month.The max radiation imposed the strongest influence on the peak value of grid-connected power,while the available sunshine hours showed the strongest influence on the monthly power generation capacity.The study indicated that average radiation,max radiation,and accumulated radiation should be taken as major indices in evaluating solar energy utilization and photovoltaic power station development.

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雷震,郝雨辰,孔伯骏.太阳辐射对大型渔光互补光伏电站发电效益影响分析[J].南京信息工程大学学报(自然科学版),2021,13(3):377-382
LEI Zhen, HAO Yuchen, KONG Bojun. Solar radiation influence on power generation benefit of large-scale fishery solar complementary photovoltaic power station[J]. Journal of Nanjing University of Information Science & Technology, 2021,13(3):377-382

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  • 收稿日期:2020-11-16
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  • 在线发布日期: 2021-06-25
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