考虑空间相关性和天气类型划分的多光伏电站时间序列建模方法Time Series Modeling Method for Multi-photovoltaic Power Stations Considering Spatial Correlation and Weather Type Classification
王晶;黄越辉;李驰;项康利;林毅;
摘要(Abstract):
提出了一种考虑多光伏电站在地理位置及天气类型上的相关性、适用于电力系统中长期规划及电网运行方式安排的光伏发电时间序列建模方法。首先分析了光伏发电时间序列相关性的影响因素及表达方式,根据地位位置与天气类型两方面影响因素将光伏出力分为净空出力与相对出力两部分,其中净空出力能够准确表达光伏电站间的空间相关性,相对出力的聚类识别及分解能够有效体现各电站天气类型大概率相同前提下波动出力的随机性。在此基础之上,提出了基于空间相关性及天气类型划分的光伏发电时间序列建模方法,建模生成的光伏发电时间序列不仅继承了原始序列的单电站均值、方差、概率分布及波动等出力特性,而且保留了多个场站在不同时间维度上的出力相关性。最后基于某省光伏电站的实测出力数据进行模拟仿真,分析验证了文中建模方法的有效性。
关键词(KeyWords): 光伏;时间序列;相关性;天气类型;聚类
基金项目(Foundation): 国家电网有限公司科技项目(521302N180005):“全局计划决策与现货市场核心技术研究与应用”~~
作者(Author): 王晶;黄越辉;李驰;项康利;林毅;
Email:
DOI: 10.13335/j.1000-3673.pst.2019.0729
参考文献(References):
- [1]舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017,37(1):1-9.Shu Yinbiao,Zhang Zhigang,Guo Jianbo,et al.Study on key factors and solution of renewable energy accommodation[J].Proceedings of the CSEE,2017,37(1):1-9(in Chinese).
- [2]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.Wang Haiying,Bai Xiaomin,Ma Gang.Reliability assessment of grid-integrated solar photovoltaic system[J]. Power System Technology,2012,36(10):1-5(in Chinese).
- [3]石文辉,别朝红,王锡凡.大型电力系统可靠性评估中的马尔可夫链蒙特卡洛方法[J].中国电机工程学报,2008,28(4):9-15.Shi Wenhui,Bie Zhaohong,Wang Xifan.Applications of Markov chain Monte Carlo in large-scale system reliability evaluation[J].Proceedings of the CSEE,2008,28(4):9-15(in Chinese).
- [4]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.Wang Min,Zong Xuanjun,Yuan Yue,et al.Reliability analysis of generation systems with photovoltaic stations[J].Proceedings of the CSEE,2013,33(34):42-49(in Chinese).
- [5] Yize C, Yishen W, Daniel K. Model-free renewable scenario generation using generative adversarial networks[J]. IEEE Transactions on Power Systems,2018,33(3):3265-3275.
- [6] Chen Laijun,Mei Shengwei.An integrated control and protection system for photovoltaic microgrids[J].CSEE Journal of Power and Energy Systems,2015,1(1):36-42.
- [7] Du Wenjuan,Bi Jingtian,Wang Tong,et al.Impact of grid connection of large-scale wind farms on power system small-signal angular stability[J].CSEE Journal of Power and Energy Systems,2015,1(2):83-89.
- [8] Ummels B C,Gibescu M,Pelgrum E,et al.Impacts of wind power on thermal generation unit commitment and dispatch[J]. IEEE Transactions on Energy Conversion,2007,22(1):44-51.
- [9] Silva A M L L,Sales W S,da Fonseca Manso L A D F,et al. Long-term probabilistic evaluation of operating reserve requirements with renewable sources[J].IEEE Transactions on Power Systems,2010,25(1):106-116.
- [10] Wang Jianhui,Shahidehpour M,Li Zuyi.Security constrained unit commitment with volatile wind power generation[J]. IEEE Transactions on Power Systems,2008,23(3):1319-1327.
- [11] Zou K,Agalgaonkar A P,Muttaqi K M,et al.Distribution system planning with incorporating DG reactive capability and system uncertainties[J].IEEE Transactions on Sustainable Energy,2012,3(1):112-123.
- [12]颜伟,任洲洋,赵霞,等.光伏电源输出功率的非参数核密度估计模型[J].电力系统自动化,2013,37(10):35-40.Yan Wei,Ren Zhouyang,Zhao Xia,et al.Probabilistic photovoltaic power modeling based on nonparametric kernel density estimation[J].Automation of Electric Power Systems,2013,37(10):35-40(in Chinese).
- [13]张悦,申彦波,石广玉.面向光热发电的太阳能短期预报技术[J].电力系统自动化,2016,40(19):158-167.Zhang Yue,Shen Yanbo,Shi Guangyu,et al.Short-term forecasting technology of solar energy for concentrating solar power[J].Automation of Electric Power Systems,2016,40(19):158-167(in Chinese).
- [14]丁明,徐宁舟.基于马尔可夫链的光伏发电系统输出功率短期预测方法[J].电网技术,2011,35(1):152-157.Ding Ming,Xu Ningzhou.A method to forecast short-term output power of photovoltaic generation system based on Markov Chain[J].Power System Technology,2011,35(1):152-157(in Chinese).
- [15] Jussi E,Matti K,Ilkka M,et al.A statistical model for hourly large-scale wind and photovoltaic generation in new locations[J].IEEE Transactions on Sustainable Energy,2017,8(4):1383-1393.
- [16]李驰.基于波动特性的新能源出力时间序列建模方法研究[D].北京:中国电力科学研究院,2015.
- [17]夏泠风,黎嘉明,赵亮,等.考虑光伏电站时空相关性的光伏出力序列生成方法[J].中国电机工程学报,2017,37(7):1982-1993.Xia Linfeng,Li Jiaming,Zhao Liang,et al.A PV power time series generating method considering temporal and spatial correlation characteristics[J].Proceedings of the CSEE,2017,37(7):1982-1993(in Chinese).
- [18]罗钢,石东源,陈金富,等.风光发电功率时间序列模拟的MCMC方法[J].电网技术,2014,38(2):321-327.Luo Gang,Shi Dongyuan,Chen Jinfu,et al.A Markov chain Monte Carlo method for simulation of wind and solar power times series[J]. Power System Technology, 2014, 38(2):321-327(in Chinese).
- [19]张曦,康重庆,张宁,等.太阳能光伏发电的中长期随机特性分析[J].电力系统白动化,2014,38(6):6-13.Zhang Xi,Kang Chongqing,Zhang Ning,et al.Analysis of mid/long term random characteristics of photovoltaic power generation[J].Automation of Electric Power Systems,2014,38(6):6-13(in Chinese).
- [20]代倩,段善旭,蔡涛,等.基于天气类型聚类识别的光伏系统短期无辐照度发电预测模型研究[J].中国电机工程学报,2011,31(34):28-35.Dai Qian,Duan Shanxu,Cai Tao,et al.Short-term PV generation system forecasting model without irradiation based on weather type clustering[J].Proceedings of the CSEE,2011,31(34):28-35(in Chinese).
- [21] Yang H,Huang C,Huang Y,et al.A weather-based hybrid method for 1-day ahead hourly forecasting of PV power output[J].IEEE Transactions on Sustainable Energy,2014,5(3):917-926.
- [22] Pulipaka S, Kumar R.Comparison of SOM and conventional neural network data division for PV reliability power prediction[C]//Proceedings of the 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe,Milan,2017:1-5.