光伏发电质量评价与惩罚函数研究
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摘要
文章基于光伏总出力、光伏出力波动和光伏出力预测误差3个评价指标,利用惩罚函数对光伏发电质量进行分析。首先,采用K均值聚类方法对上述指标的样本数据进行聚类;然后,采用F分布对聚类结果进行显著性检验,以提高聚类结果的有效性;最后,分别选取对数函数、幂函数、指数函数来建立惩罚函数,以量化各项评价指标对惩罚函数的影响程度,并综合采用层次分析法和熵权法来确定该惩罚函数的权系数。分析结果表明,文章所提出的光伏发电质量评价模型具有可行性以及较高的应用价值。
This paper studies the quality evaluation to the solar power, which is quantified by the penalty function considering the total output, the output fluctuation, and the forecast error. At first,the K-means clustering method is introduced to combine the sample data for each index. Then, the significance test using the F-distribution is applied to validate the effectiveness of the proposed model.Finally, the penalty terms based on the logarithmic function, the power function, or the exponential function are used to compare the influences of different indices on the penalty function. The Analytic Hierarchy Process(AHP) and the entropy method are used to determine the weight coefficients of the penalty function. The feasibility and application value of the proposed evaluation method are validated by the analytic results.
This paper studies the quality evaluation to the solar power, which is quantified by the penalty function considering the total output, the output fluctuation, and the forecast error. At first,the K-means clustering method is introduced to combine the sample data for each index. Then, the significance test using the F-distribution is applied to validate the effectiveness of the proposed model.Finally, the penalty terms based on the logarithmic function, the power function, or the exponential function are used to compare the influences of different indices on the penalty function. The Analytic Hierarchy Process(AHP) and the entropy method are used to determine the weight coefficients of the penalty function. The feasibility and application value of the proposed evaluation method are validated by the analytic results.
引文
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[15]余廷芳,林中达.部分解约束算法在机组负荷优化组合中的应用[J].中国电机工程学报,2009(2):107-112.
[16]余廷芳,彭春华.遗传粒子群混合算法在电厂机组负荷组合优化中的应用[J].电力自动化设备,2010,30(10):22-26.
[17]许吉祥,侯剑,谭彦华,等.求解广义纳什均衡问题的指数型惩罚函数方法[J].运筹与管理,2015,24(1):81-88.
[18] Li S W, Gao Y, Jia L H, et al. Subjective and objective evaluation method of cloud computing in power system under the background of energy internet[A].2017 IEEE Conference on Energy Internet and Energy System Integration[C].Beijing:IEEE,2017.1-6.
[2]丁明,李生虎,洪梅.电力系统概率分析中的K均值聚类负荷模型[J].电力系统自动化,1999,23(19):51-54.
[3]张雪凤,张桂珍,刘鹏.基于聚类准则函数的改进Kmeans算法[J].计算机工程与应用,2011,47(11):123-127.
[4]詹仲强,陈洁,黄净,等.基于运行数据和支持向量机的风电场动态建模[J].可再生能源,2015,33(11):1640-1645.
[5]吴一全,朱丽,周怀春.基于Krawtchouk矩和支持向量机的火焰状态识别[J].中国电机工程学报,2014,34(5):734-740.
[6]张耀天,何正友,赵静,等.基于粗糙集理论和朴素贝叶斯网络的电网故障诊断方法[J].电网技术,2007,31(1):37-43.
[7]王湘艳,苗淼,陈宁,等.光伏发电并网输电效率性能评价研究[J].计算机仿真,2017,34(11):90-94.
[8] Yuan W G, Wei L J, Li Y, et al. Research on evaluation method for operation economy and technology of regional smart energy grid[J].Journal of Engineering,2017(13):667-670.
[9] Tomekovic M, Filipan V. Cost-effectivness survey of a small photovoltaic system in Croatia[A]. 2008International Conference on Energy and the Environment[C].Opatija:Croatian Scientific Bibliography,2008.281-290.
[10] Rehman S, Bader M A, Al-Moallem S A.Cost of solar energy generated using PV panels[J].Renewable&Sustainable Energy Reviews,2007,11(8):1843-1857.
[11] Aragonés-Beltrán P, Chaparro-González F, PastorFerrando J P, et al. An ANP-based approach for the selection of photovoltaic solar power plant investment projects[J].Renewable&Sustainable Energy Reviews,2010,14(1):249-264.
[12] Ding M, Xu Z C. Empirical model for capacity credit evaluation of utility-scale PV plant[J].IEEE Transactions on Sustainable Energy,2017,8(1):94-103.
[13]王东,杨茂盛.基于可拓理论的光伏发电项目质量评价研究[J].电力科技与环保,2015,31(3):51-53.
[14] Gogineni V C, Mula S. Logarithmic cost based constrained adaptive filtering algorithms for sensor array beamforming[J].IEEE Sensors Journal,2018,18(14):5897-5905.
[15]余廷芳,林中达.部分解约束算法在机组负荷优化组合中的应用[J].中国电机工程学报,2009(2):107-112.
[16]余廷芳,彭春华.遗传粒子群混合算法在电厂机组负荷组合优化中的应用[J].电力自动化设备,2010,30(10):22-26.
[17]许吉祥,侯剑,谭彦华,等.求解广义纳什均衡问题的指数型惩罚函数方法[J].运筹与管理,2015,24(1):81-88.
[18] Li S W, Gao Y, Jia L H, et al. Subjective and objective evaluation method of cloud computing in power system under the background of energy internet[A].2017 IEEE Conference on Energy Internet and Energy System Integration[C].Beijing:IEEE,2017.1-6.