Renewable Generation (WindSolar) and Load Modeling through Modified Fuzzy Prediction Interval
Joint Authors
Jamil, Irfan
Rafique, Syed Furqan
Rafique, Rizwan
Guo, Jing
Zhang, Jianhua
Source
International Journal of Photoenergy
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-11
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The accuracy of energy management system for renewable microgrid, either grid-connected or isolated, is heavily dependent on the forecasting precision such as wind, solar, and load.
In this paper, an improved fuzzy prediction horizon forecasting method is developed to address the issue of intermittence and uncertainty problem related to renewable generation and load forecast.
In the first phase, a Takagi-Sugeno type fuzzy system is trained with many evolutionary optimization algorithms and established coverage grade indicator to check the accuracy of interval forecast.
Secondly, a wind, solar, and load forecaster is developed for renewable microgrid test bed which is located in Beijing, China.
One day and one step ahead results for the proposed forecaster are expressed with lowest RMSE and training time.
In order to check the efficiency of the proposed method, a comparison is carried out with the existing models.
The fuzzy interval-based model for the microgrid test bed will help to formulate the energy management problem with more accuracy and robustness.
American Psychological Association (APA)
Rafique, Syed Furqan& Zhang, Jianhua& Rafique, Rizwan& Guo, Jing& Jamil, Irfan. 2018. Renewable Generation (WindSolar) and Load Modeling through Modified Fuzzy Prediction Interval. International Journal of Photoenergy،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1174119
Modern Language Association (MLA)
Rafique, Syed Furqan…[et al.]. Renewable Generation (WindSolar) and Load Modeling through Modified Fuzzy Prediction Interval. International Journal of Photoenergy No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1174119
American Medical Association (AMA)
Rafique, Syed Furqan& Zhang, Jianhua& Rafique, Rizwan& Guo, Jing& Jamil, Irfan. Renewable Generation (WindSolar) and Load Modeling through Modified Fuzzy Prediction Interval. International Journal of Photoenergy. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1174119
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174119