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Short-Term Photovoltaic Power Generation Forecasting Based on Multivariable Grey Theory Model with Parameter Optimization
Joint Authors
Zhong, Zhifeng
Yang, Chenxi
Cao, Wenyang
Yan, Chenyang
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Owing to the environment, temperature, and so forth, photovoltaic power generation volume is always fluctuating and subsequently impacts power grid planning and operation seriously.
Therefore, it is of great importance to make accurate prediction of the power generation of photovoltaic (PV) system in advance.
In order to improve the prediction accuracy, in this paper, a novel particle swarm optimization algorithm based multivariable grey theory model is proposed for short-term photovoltaic power generation volume forecasting.
It is highlighted that, by integrating particle swarm optimization algorithm, the prediction accuracy of grey theory model is expected to be highly improved.
In addition, large amounts of real data from two separate power stations in China are being employed for model verification.
The experimental results indicate that, compared with the conventional grey model, the mean relative error in the proposed model has been reduced from 7.14% to 3.53%.
The real practice demonstrates that the proposed optimization model outperforms the conventional grey model from both theoretical and practical perspectives.
American Psychological Association (APA)
Zhong, Zhifeng& Yang, Chenxi& Cao, Wenyang& Yan, Chenyang. 2017. Short-Term Photovoltaic Power Generation Forecasting Based on Multivariable Grey Theory Model with Parameter Optimization. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190800
Modern Language Association (MLA)
Zhong, Zhifeng…[et al.]. Short-Term Photovoltaic Power Generation Forecasting Based on Multivariable Grey Theory Model with Parameter Optimization. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1190800
American Medical Association (AMA)
Zhong, Zhifeng& Yang, Chenxi& Cao, Wenyang& Yan, Chenyang. Short-Term Photovoltaic Power Generation Forecasting Based on Multivariable Grey Theory Model with Parameter Optimization. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190800
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190800