Power Reconstructing Method of Distributed Photovoltaic Based on the Temporal and Spatial Correlation

Shangqiang Li; Rongfu Sun; Ying Qiao; Zongxiang Lu

doi:10.1051/e3sconf/202018203002

All issues

Volume 182 (2020)

E3S Web Conf., 182 (2020) 03002

References

Open Access

Issue		E3S Web Conf. Volume 182, 2020 2020 10^th International Conference on Power, Energy and Electrical Engineering (CPEEE 2020)


Article Number		03002
Number of page(s)		6
Section		Energy and Energy Storage Technology
DOI		https://doi.org/10.1051/e3sconf/202018203002
Published online		31 July 2020

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[1] Y. Wang, Q. Chen, T. Hong, et al. Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges. IEEE Transactions on Smart Grid(2018). [Google Scholar]

[2] Y. Lei, Z. Li, Z. Lu, etc. Review on the Research of Distributed Generation Technology and Its Impacts on Electric Power System. Southern Power System Technology, 5, 46. (in Chinese, 2011) [Google Scholar]

[3] J.H. Angelim, C.M. Affonso. Impact of distributed generation technology and location on power system voltage stability. IEEE Latin America Transactions, 14, 1758.(2016) [Google Scholar]

[4] X. Shen, M Cao. Research on the Influence of Distributed Power Grid for Distribution Network. Transactions of China Electrotechnical Society, 30, 346. (in Chinese, 2015) [Google Scholar]

[5] H. Wang, L. Ge, H. Li, F Chi. A Review on Characteristic Analysis and Prediction Method of Distributed PV. Electric Power Construction, 38, 1. (in Chinese, 2017) [Google Scholar]

[6] Y. Gong, Z. Lu, Y. Qiao, Q Wang. An Overview of Photovoltaic Energy System Output Forecasting Technology. Automation of Electric Power Systems, 40, 140. (in Chinese, 2016) [Google Scholar]

[7] S. Gong, T. Pan, D. Wu, Z Ji. Research on missing data imputation of Mcro-Grid PV system based on MCMC. Renewable Energy Resources, 36, 346. (in Chinese, 2018) [Google Scholar]

[8] Zarzo M, Martí P. Modeling the variability of solar radiation data among weather stations by means of principal components analysis. Applied Energy, 88, 2775. (2018) [Google Scholar]

[9] R. Yu, N. Chen, N. Miao, D Dang. A Repair Method for PV Power Station Output Data Considering Weather and Spatial Correlations. Power System Technology, 41, 2229. (in Chinese, 2017) [Google Scholar]

[10] B. Lu, Q. Fang, G Wang. Methods for identification and restoration of abnormal power data in distributed household rooftop photovoltaic device. Electric Drive Automation, 40, 1. (in Chinese, 2018) [Google Scholar]