Designation of Short-term Power Forecasting System for PV Power System and Its Cluster Integrated with Distribution Power Network

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Lu, Xi-Ning^1 ; Li, Zhi^2 ; Lv, Ming-Gang^1 ; Liu, Hai-Tao^2 ; Zheng, Zhu^3 ; Zong, Jin^2 ; Gao, Yu-Hua^1

State Grid Langfang Power Supply Co. Ltd., Langfang

065000, China^1

North China Electric Power Research Institute Co. Ltd., Beijing

100045, China^2

Beijing Tsingsoft Innovation Technology Co. Ltd., Beijing

100085, China^3

关键词: Business demands;    Distribution power networks;    Load forecasting;    Paper analysis;    Power forecasting;    Power grids;    PV power systems;    Real time data collections;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072025/pdf
DOI  :  10.1088/1757-899X/490/7/072025

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper analysis under the conditions of power penetration of PV power system integrated with distribution power network is 0%, 5%, 10%, 15%, 20%, 24.46%, 30%, 35%, 40%, 50%, 60% and 75% respectively, the effects for common bus-bar load forecasting accuracy. Then, designation for the configuration, NWP solving, real-time data collection and PV power system and its cluster power forecasting of short-term PV power forecasting system. In addition, validation for the accuracy of PV power system cluster short-term power forecasting results, and the results indicate that the proposed system is able to explore and technical adaption for the business demand for operator of power grid dispatch department and PV power system.