Spatiotemporal Complementary Characteristics of Large-Scale Wind Power, Photovoltaic Power, and Hydropower

被引:2
|
作者
Wang, Songkai [1 ,2 ]
Jia, Rong [2 ,3 ]
Luo, Chang [4 ]
An, Yuan [2 ,3 ]
Guo, Pengcheng [1 ]
机构
[1] Xian Univ Technol, Sch Water Resources & Hydropower, Xian 710048, Peoples R China
[2] Xian Univ Technol, Key Lab Smart Energy Xian, Xian 710048, Peoples R China
[3] Xian Univ Technol, Sch Elect Engn, Xian 710048, Peoples R China
[4] Hanjiang To Weihe River Valley Water Divers Proje, Xian 710048, Peoples R China
基金
中国国家自然科学基金;
关键词
renewable energy; multi-energy complementarity; spatiotemporal complementary characteristics; 3D vector; SOLAR; SYSTEM; ELECTRICITY; GENERATION; RESERVOIR; DEMAND; ISLAND;
D O I
10.3390/su14159273
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the increasing proportion of renewable energy in power generation, the mixed utilization of multiple renewable energy sources has gradually become a new trend. Using the natural complementary characteristics of wind power, photovoltaic, and hydropower to evaluate the complementary potential of various energy sources has become a hot issue in the research of mixed utilization. Given that traditional complementarity research can only assess the complementarity between two energy sources, this paper proposes a method to simultaneously determine the complementarity between three large-scale renewable energy sources. Firstly, a three-dimensional vector represents the complementary characteristic combination of any two energy sources. The complementary characteristics of the three energy sources were obtained by finding the optimal solution for the three-dimensional vector. Finally, power stations were selected, located in different spatial areas on the world's largest renewable energy base in Qinghai, China, as the research object to analyze and verify the complementary characteristics of wind-power-photovoltaic-power-hydropower at different spatiotemporal scales. The results show significant differences in the complementary characteristics of different time scales. The farther the spatial distance between different power stations, the stronger their complementarity. The best complementary index on the monthly and daily scales was improved by 8.49% and 6.51%. This study provides a new focus for the future evaluation of the complementary utilization potential of large-scale joint renewable energy in different world regions.
引用
收藏
页数:17
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