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作 者:尹德扬 梅飞[2] 郑建勇[1] 赫卫国[3,4] 祁晓婧 YIN Deyang;MEI Fei;ZHENG Jianyong;HE Weiguo;QI Xiaojing(School of Electrical Engineering,Southeast University,Nanjing 210096,China;College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China;School of Automation,Southeast University,Nanjing 210096,China;China Electric Power Research Institute,Nanjing 210003,China)
机构地区:[1]东南大学电气工程学院,江苏南京210096 [2]河海大学能源与电气学院,江苏南京211100 [3]东南大学自动化学院,江苏南京210096 [4]中国电力科学研究院有限公司,江苏南京210003
出 处:《电力自动化设备》2022年第5期135-141,共7页Electric Power Automation Equipment
基 金:国家重点研发计划项目(2018YFB1500800)。
摘 要:目前光伏运维周期主要由人工经验确定,成本过高,不利于光伏产业的发展,为此,提出一种考虑分布式光伏系统典型场景的最优运维周期确定方法。建立分布式光伏2种典型应用场景数学模型;以光伏可靠性模型以及光伏组件积灰模型为基础,建立运维周期模型;利用蒙特卡洛法计算不同运维周期下由发电损失成本及运维成本组成的运维总成本的概率分布。通过不同算例的模拟结果平均值确定最优运维周期,验证了所提方法的有效性和合理性。The current PV(PhotoVoltaic) operation and maintenance cycles are mainly determined by human experience,the cost is too high,and it is not conducive to the development of PV industry,for which,a determination method of optimal operation and maintenance cycles is proposed considering the typical scenarios of distributed PV system. The mathematic models of two typical application scenarios of distributed PV are established. Based on the models of PV reliability model and PV module dust accumulation model,an operation and maintenance cycle model is established. The Monte Carlo method is used to calculate the probability distribution of total operation and maintenance cost composed by power generation loss cost and operation and maintenance cost under different operation and maintenance cycles. The optimal operation and maintenance cycles are determined by the average values of simulative results of different examples,verifying the validity and rationality of the proposed method.
关 键 词:分布式光伏 运维周期 经济效益 可靠性 组件积灰
分 类 号:TM721[电气工程—电力系统及自动化] TM615
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