International Conference on Energy Engineering and Environmental Protection 2017 | |
Analysis and model on space-time characteristics of wind power output based on the measured wind speed data | |
能源学;生态环境科学 | |
Shi, Wenhui^1 ; Feng, Changyou^2 ; Qu, Jixian^1 ; Zha, Hao^1 ; Ke, Dan^3 | |
State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems, China Electric Power Research Institute, Beijing | |
100192, China^1 | |
State Grid Corporation of China, Beijing | |
100031, China^2 | |
School of Electrical Engineering, Xi'An Jiaotong University, Xi'an, Shanxi Province | |
710049, China^3 | |
关键词: Analysis and modeling; Clustering methods; Power system simulations; Probability modeling; Probability models; Space-time characteristics; Temporal characteristics; Wind speed data; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042028/pdf DOI : 10.1088/1755-1315/121/4/042028 |
|
学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
Most of the existing studies on wind power output focus on the fluctuation of wind farms and the spatial self-complementary of wind power output time series was ignored. Therefore the existing probability models can't reflect the features of power system incorporating wind farms. This paper analyzed the spatial self-complementary of wind power and proposed a probability model which can reflect temporal characteristics of wind power on seasonal and diurnal timescales based on sufficient measured data and improved clustering method. This model could provide important reference for power system simulation incorporating wind farms.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Analysis and model on space-time characteristics of wind power output based on the measured wind speed data | 812KB | download |