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An analytical method to evaluate curtailment of hydro-photovoltaic hybrid energy systems and its implication under climate change

文献类型：期刊论文

作者Cheng, Qian1,2,7; Liu, Pan1,2,7; Xia, Qian3; Cheng, Lei1,2,7; Ming, Bo6; Zhang, Wei5; Xu, Weifeng4; Zheng, Yalian1,2,7; Han, Dongyang1,2,7; Xia, Jun7,8
刊名ENERGY
出版日期2023-09-01
卷号278页码:16
ISSN号0360-5442
关键词Climate change Hydro -PV hybrid Energy systems PV curtailment Optimal operation Renewable energy
DOI10.1016/j.energy.2023.127800
通讯作者Liu, Pan(liupan@whu.edu.cn)
英文摘要Identifying power curtailment is essential for system reliability, especially in hydro-photovoltaic (PV) hybrid energy systems (HPESs) exposed to future climate variability. However, the relatively low temporal resolution of climate projections challenges the effectiveness of current numerical simulation methods for evaluating the curtailment rate of HPESs. This study derives an analytical method based on daily hydropower and PV power rather than the commonly used hourly data in numerical methods, to reduce reliance on the temporal resolution of climate inputs. A short-term operation model is constructed to verify the effectiveness of the derived power curtailment function. A long-term operation model incorporating the analytical power curtailment function is then established to analyze variations in future curtailment rates using climate information projections. Results of a case study in the Yalong River Basin validate the accuracy of the derived PV curtailment function. Compared with the reference period, future hydropower and PV power will increase in most climate scenarios with substantial variances, whereas the PV curtailment rate exhibits an overall increase in the near future (+2.49%) and a larger increase in the far future (+5.53%). The most noticeable increases in future PV curtailment rates occur in June, July, and October (+3.15%, +5.47%, and +3.11%). The proposed analytical method provides valuable insights for the risk evaluation of HPESs by coupling the short-term power curtailment rate with mid-and long-term climate variations.
WOS关键词UNIT COMMITMENT ; POWER ; PRECIPITATION ; INTEGRATION ; GENERATION ; RESERVOIR
资助项目National Key R&D Program of China[2022YFC3202804] ; National Science Fund for Distinguished Young Scholars of China[52225901] ; National Natural Science Foundation of China[52209033]
WOS研究方向Thermodynamics ; Energy & Fuels
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:001006092600001
资助机构National Key R&D Program of China ; National Science Fund for Distinguished Young Scholars of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/194911]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Pan
作者单位1.Wuhan Univ, Hubei Prov Key Lab Water Syst Sci Sponge City Cons, Wuhan 430072, Peoples R China
2.Wuhan Univ, Res Inst Water Secur RIWS, Wuhan 430072, Peoples R China
3.Hubei Water Resources Res Inst, Hubei Water Resources & Hydropower Sci & Technol P, Wuhan 430070, Peoples R China
4.Changjiang Water Resources Commiss, Bur Hydrol, Wuhan 430010, Peoples R China
5.China Three Gorges Corp, Sci & Technol Res Inst, Beijing 100038, Peoples R China
6.Xian Univ Technol, State Key Lab Eco Hydraul Northwest Arid Reg, Xian 710048, Peoples R China
7.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Qian,Liu, Pan,Xia, Qian,et al. An analytical method to evaluate curtailment of hydro-photovoltaic hybrid energy systems and its implication under climate change[J]. ENERGY,2023,278:16.
APA Cheng, Qian.,Liu, Pan.,Xia, Qian.,Cheng, Lei.,Ming, Bo.,...&Xia, Jun.(2023).An analytical method to evaluate curtailment of hydro-photovoltaic hybrid energy systems and its implication under climate change.ENERGY,278,16.
MLA Cheng, Qian,et al."An analytical method to evaluate curtailment of hydro-photovoltaic hybrid energy systems and its implication under climate change".ENERGY 278(2023):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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