Application of least square support vector machine in photovoltaic power forecasting

Dianwang Jishu/Power System Technology

Volumn 35, Issue 7, 2011, Pages 54-59

  Zhu, Yongqiang ^a   Tian, Jun ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Energy storage; Least square support vector machine; PV power forecasting; Randomness; Short term solar irradiation forecasting

Indexed keywords

AIR TEMPERATURE; CLOUD LAYERS; EXPECTED VALUES; FORECASTING MODELS; GROUND SURFACES; INSTALLED CAPACITY; LEAST SQUARE; LEAST SQUARE SUPPORT VECTOR MACHINES; MACHINE MODELS; OUTPUT VALUES; PHOTOVOLTAIC POWER; PHOTOVOLTAIC SYSTEMS; POWER OUT PUT; PV POWER FORECASTING; PV SYSTEM; RANDOMIZATION PROBLEMS; RANDOMNESS; SOLAR IRRADIATION; TIME SERIES MODELING; UNIFIED MODELING;

ALGORITHMS; ENERGY STORAGE; FLYWHEELS; FORECASTING; IRRADIATION; PHOTOVOLTAIC EFFECTS; SOLAR ENERGY; SOLAR RADIATION; TIME SERIES; VIRTUAL STORAGE;

SUPPORT VECTOR MACHINES;

EID: 79961124798     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Enrique R C, María I M M, Eva G R, et al. Power injection system for grid-connected photovoltaic generation systems based on two collaborative voltage source inverters [J]. IEEE Trans on Industrial Electronics, 2009, 56 (11): 4389-4398.
2. Wang Yibo, Xu Honghua. Research of capacity limit of grid-connected photovoltaic power station on the basis of chance-constrained programming [J]. Proceedings of the CSEE, 2010, 30 (22): 22-28 (in Chinese).
3. Tamas K, Remus T, Marco L, et al. Evaluation of three-phase transformerless photovoltaic inverter topologies [J]. IEEE Trans on Power Electronics, 2009, 24 (9): 2202-2211.
4. Liu Hongpeng, Wang Wei, Wu Hui. Modulation mode analysis and suppressing DC current of PV inverter [J]. Proceedings of the CSEE, 2010, 30 (9): 27-32 (in Chinese).
5. Eladio D A, Juan A G, Mariano S C. Measuring the I-V curve of PV generators [J]. IEEE Industrial Electronics Magazine, 2009 (3): 4-14.
6. Nicola F, Giovanni P, Giovanni S. A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems [J]. IEEE Trans on Industrial Electronics, 2009, 56 (11): 4473-4482.
7. Wu Haitao, Sun Yize, Meng Chuo. Application of fuzzy controller with particle swarm optimization algorithm to maximum power point tracking of photovoltaic generation system [J]. Proceedings of the CSEE, 2011, 31 (6): 52-57 (in Chinese).
8. Evangelos R, Stathis T, Carsten H. Stability and power quality issues in microgrids under weather disturbances [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008, 1 (3): 170-179.
9. Khallat M A, Rahman S. A probabilistic approach to photovoltaic generator performance prediction [J]. IEEE Trans on Energy Conversion, 1986, 1 (3): 34-40.
10. Elke L, Johannes H, Detlev H, et al. Irradiance forecasting for the power prediction of grid-connected photovoltaic systems [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2009, 2 (1): 2-10.
11. Takashi H, Ken K. Neural network based estimation of maximum power generation from PV module using environmental information [J]. IEEE Trans on Energy Conversion, 1997, 12 (3): 241-247.
12. Chen Changsong, Duan Shanxu, Yin Jinjun. Design of photovoltaic array power forecasting model based on neutral network [J]. Transactions of China Electrotechnical Society, 2010, 24 (9): 153-158 (in Chinese).
13. Yuan Tiejiang, Chao Qin, Li Yiyan, et al. Short-term wind power output forecasting model for economic dispatch of power system incorporating large-scale wind farm [J]. Proceedings of the CSEE, 2010, 30 (13): 23-27 (in Chinese).
14. Wang Xiaolan, Li Hui. Effective wind speed forecasting in annual prediction of output power for wind farm [J]. Proceedings of the CSEE, 2010, 30 (8): 117-122 (in Chinese).
15. Bai Yongxiang, Fang Dazhong, Hou Youhua, et al. Regional wind power forecasting system for Inner Mongolia power grid [J]. Power System Technology, 2010, 34 (10): 157-162 (in Chinese).
16. Meng Yangyang, Lu Jiping, Sun Huali, et al. Short-term wind power forecasting based on similar days and artificial neural network [J]. Power System Technology, 2010, 34 (12): 163-167 (in Chinese).
17. Pang Qingle. A rough set-based neural network load forecasting algorithm and its application in short-term load forecasting [J]. Power System Technology, 2010, 34 (12): 168-173 (in Chinese).
18. 2009: 170-184.
19. Dumortier D. Prediction of air temperatures from solar radiation [R/OL]. 2002-02-15. http://www.cnrs.fr/index.php.
20. Evangelos R, Stathis T, Carsten H K, et al. Stability and power quality issues in microgrids under weather disturbances [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008, 1(3): 170-179.
21. Gu Yanping, Zhao Wenjie, Wu Zhansong. Combustion optimization for utility boiler based on least square-support vector machine [J]. Proceedings of CSEE, 2010, 30 (17): 91-96 (in Chinese).
22. 2010: 88-95.
23. 2010-06-30. http://cdc.cma.gov.cn.
24. 2010-06-30. http://www.wunderground.com.
25. Lilienthal P, Gilman P, Lambert T. Homer version 2.19 [CP/DK]. 2010-06-30. http://www.nerl.gov/homer.
26. Selya P, Robert M. 2008 solar technologies market report [EB/OL]. 2010-06-30. http://www.nrel.gov/analysis/pdfs/46025.pdf.