| 注册
首页|期刊导航|中国电机工程学会电力与能源系统学报(英文版)|Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

Yiwei Qiu Jin Lin Zhipeng Zhou Ningyi Dai Feng Liu Yonghua Song

中国电机工程学会电力与能源系统学报(英文版)2025,Vol.11Issue(1):124-135,12.
中国电机工程学会电力与能源系统学报(英文版)2025,Vol.11Issue(1):124-135,12.DOI:10.17775/CSEEJPES.2021.09640

Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

Yiwei Qiu 1Jin Lin 2Zhipeng Zhou 3Ningyi Dai 3Feng Liu 2Yonghua Song4

作者信息

  • 1. College of Electrical Engineering,Sichuan University,Chengdu 610065,China
  • 2. State Key Laboratory of the Control and Simulation of Power Systems and Generation Equipment,Tsinghua University,Beijing 100087,China
  • 3. State Key Laboratory of Internet of Things for Smart City,University of Macau,Macau 999078,China
  • 4. State Key Laboratory of Internet of Things for Smart City,University of Macau,Macau 999078,China||Department of Electrical Engineering,Tsinghua University,Beijing 100087,China
  • 折叠

摘要

关键词

Photovoltaic(PV)power/random process/stochastic differential equation(SDE)/stochastic optimization/time series modeling/uncertainty quantification/weather report

Key words

Photovoltaic(PV)power/random process/stochastic differential equation(SDE)/stochastic optimization/time series modeling/uncertainty quantification/weather report

引用本文复制引用

Yiwei Qiu,Jin Lin,Zhipeng Zhou,Ningyi Dai,Feng Liu,Yonghua Song..Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports[J].中国电机工程学会电力与能源系统学报(英文版),2025,11(1):124-135,12.

基金项目

This work was supported by the National Key R&D Program of China(2018YFB0905200),National Natural Science Foundation of China(51907099),Open Research Project Programme of the State Key Laboratory of Internet of Things for Smart City(University of Macau)(SKL-IoTSC(UM)-2021-2023/ORPF/A11/2022). (2018YFB0905200)

中国电机工程学会电力与能源系统学报(英文版)

2096-0042

访问量0
|
下载量0
段落导航相关论文