The Power Purchase Optimization Model in China considering the Renewable Energy Risks under Different Risk Preferences
Joint Authors
He, Yongxiu
Li, Dacheng
Xia, Tian
Song, Dong
Zhou, Bo
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
To achieve the strategic target of energy conservation and emission reduction, China is vigorously developing its large-scale and distributed renewable energy power generation industry, dominated by wind power and photovoltaic power generation.
In the new situation of renewable energy power interconnection, the grid company in China must fully consider the risks caused by renewable energy when making power purchase optimization decisions.
This paper sets up a power purchasing model considering the risks of the renewable energy power interconnection and testifies to the effectiveness of the model through a case study.
On this basis, this paper puts forward several reasonable suggestions to help the grid company make power purchase decisions under different risk preferences.
American Psychological Association (APA)
He, Yongxiu& Li, Dacheng& Xia, Tian& Song, Dong& Zhou, Bo. 2015. The Power Purchase Optimization Model in China considering the Renewable Energy Risks under Different Risk Preferences. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073967
Modern Language Association (MLA)
He, Yongxiu…[et al.]. The Power Purchase Optimization Model in China considering the Renewable Energy Risks under Different Risk Preferences. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073967
American Medical Association (AMA)
He, Yongxiu& Li, Dacheng& Xia, Tian& Song, Dong& Zhou, Bo. The Power Purchase Optimization Model in China considering the Renewable Energy Risks under Different Risk Preferences. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073967
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073967