Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
PHOTOVOLTAIC POWER GENERATION SHORT-TERM POWER PREDICTION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/216576
Kind Code:
A1
Abstract:
The present invention provides a photovoltaic power generation short-term power prediction method and system. The method comprises: calculating a Euclidean distance between meteorological elements on the basis of absolute errors between the meteorological elements at forecasting moments within a forecasting period and corresponding historical moments, a pre-calculated meteorological element standard deviation, and a pre-calculated meteorological element weight value; for the forecasting moments, selecting a preset number of historical moments having a minimum Euclidean distance, obtaining photovoltaic power generation actual power values corresponding to the historical moments, and calculating weight values corresponding to the photovoltaic power generation actual power values; performing weighted summation on the photovoltaic power generation actual power values and the weight values corresponding to the photovoltaic power generation actual power values to obtain photovoltaic power generation predicted power values of the forecasting moments; and summarizing the photovoltaic power generation predicted power values of the forecasting moments to generate a photovoltaic power generation short-term power prediction. The present invention is less dependent on actually measured meteorological data, and is high in adaptability, simple and applicable, reliable in calculation, and easy to implement and deploy on an engineering site.

Inventors:
LI DENGXUAN (CN)
ZHOU HAI (CN)
CHENG XU (CN)
QIN FANG (CN)
MA WENWEN (CN)
HU SIYU (CN)
YAO HONGCHUN (CN)
CHEN WEIDONG (CN)
WU JI (CN)
DING HUANG (CN)
CUI FANG (CN)
JU RONGRONG (CN)
QIN HAO (CN)
LI YUECEN (CN)
Application Number:
PCT/CN2022/137289
Publication Date:
November 16, 2023
Filing Date:
December 07, 2022
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
CHINA ELECTRIC POWER RES INST (CN)
STATE GRID CORP CHINA (CN)
STATE GRID XINJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST (CN)
International Classes:
G06Q10/04; G06Q50/06; H02J3/00
Foreign References:
CN113592141A2021-11-02
CN105005825A2015-10-28
CN110619360A2019-12-27
CN112257941A2021-01-22
JP2016031621A2016-03-07
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
Download PDF: