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1. WO2019056887 - METHOD FOR PERFORMING PROBABILISTIC MODELING OF LARGE-SCALE RENEWABLE-ENERGY DATA

Publication Number WO/2019/056887
Publication Date 28.03.2019
International Application No. PCT/CN2018/100234
International Filing Date 13.08.2018
IPC
G06F 17/30 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
30Information retrieval; Database structures therefor
CPC
G06F 30/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
G06N 7/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
7Computer systems based on specific mathematical models
G06Q 50/06
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
06Electricity, gas or water supply
Y02E 60/00
YSECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
60Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Applicants
  • 国网上海市电力公司 SHANGHAI MUNICIPAL ELECTRIC POWER COMPANY [CN]/[CN]
  • 华东电力试验研究院有限公司 EAST CHINA ELECTRIC POWER TEST & RESEARCH INSTITUTION COMPANY LIMITED [CN]/[CN]
  • 重庆大学 CHONGQING UNIVERSITY [CN]/[CN]
Inventors
  • 宋杰 SONG, Jie
  • 周健 ZHOU, Jian
  • 鲍伟 BAO, Wei
  • 杨燕 YANG, Yan
  • 余娟 YU, Juan
  • 冯斐 FENG, Fei
  • 张晓颖 ZHANG, Xiaoying
  • 熊祥鸿 XIONG, Xianghong
  • 张奕 ZHANG, Yi
  • 项旭杨 XIANG, Xuyang
  • 顾薇薇 GU, Weiwei
  • 沈冰 SHEN, Bing
  • 潘爱强 PAN, Aiqiang
  • 周德生 ZHOU, Desheng
  • 周卓懿 ZHOU, Zhuoyi
  • 曾平 ZENG, Ping
  • 徐洁 XU, Jie
  • 邹晓峰 ZOU, Xiaofeng
  • 杜炤鑫 DU, Zhaoxin
  • 朱奕帆 ZHU, Yifan
Agents
  • 北京品源专利代理有限公司 BEYOND ATTORNEYS AT LAW
Priority Data
201710856461.220.09.2017CN
Publication Language Chinese (ZH)
Filing Language Chinese (ZH)
Designated States
Title
(EN) METHOD FOR PERFORMING PROBABILISTIC MODELING OF LARGE-SCALE RENEWABLE-ENERGY DATA
(FR) PROCÉDÉ DE RÉALISATION D'UNE MODÉLISATION PROBABILISTE DE DONNÉES D'ÉNERGIE RENOUVELABLE DE GRANDE ENVERGURE
(ZH) 对大规模可再生能源数据进行概率建模的方法
Abstract
(EN)
Disclosed is a method for performing rapid probabilistic modeling of large-scale renewable-energy data, containing the following processes: on the basis of Spark and a Hadoop distributed file system (HDFS), building a distributed parallel framework for rapid modeling of new energy, causing said framework to be compatible with existing renewable-energy storage systems; using the fault tolerance feature of a resilient distributed dataset (RDD) and features based on memory computation, constructing a Wakeby probability distribution model to estimate an RDD-based Wakeby probability distribution model.
(FR)
L'invention concerne un procédé de réalisation d'une modélisation probabiliste rapide de données d'énergie renouvelable de grande envergure, contenant les processus suivants : sur la base de Spark et d'un système de fichiers répartis Hadoop (HDFS), la construction d'un cadre parallèle distribué pour une modélisation rapide d'une nouvelle énergie, ce qui rend ledit cadre compatible avec des systèmes de stockage d'énergie renouvelable existants ; et l'utilisation de la caractéristique de tolérance aux pannes d'un ensemble de données distribué résilient (RDD) et de caractéristiques basées sur un calcul mémoire pour construire un modèle de distribution de probabilités de Wakeby afin d'estimer un modèle de distribution de probabilités de Wakeby basé sur un RDD.
(ZH)
公开了一种对大规模可再生能源数据进行快速概率建模方法,包含以下过程:基于Spark和Hadoop分布式文件系统HDFS为新能源快速建模搭建分布式并行框架,使该框架与可再生能源现有的存储系统兼容;利用弹性分布式数据集RDD的容错特点和基于内存计算的特点,构建求解Wakeby概率分布模型,实现基于RDD的Wakeby概率分布模型的估计。
Also published as
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