Day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption

The invention provides a day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption, and belongs to the technical field of power systems. The method comprises the steps that a cloud computing node initiates a day-ahead demand response to an edge node;...

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Main Authors LI XIAOLONG, LI YONGLIANG, MA RUI, LUO HAIRONG, XIA XUWEI, MA WANLI, ZHANG SHUANG, GUO SHAOYONG, HUANG JIANPING, DING MAOSHENG, LI XIUGUANG, LIU JIA, ZHANG QINGPING, CHEN JIEWEI, MA JUNWEI, WU MINRONG, GAO BO, ZHU DONGGE, WANG FENG, YAN ZHENHUA
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LanguageChinese
English
Published 13.08.2021
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Abstract The invention provides a day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption, and belongs to the technical field of power systems. The method comprises the steps that a cloud computing node initiates a day-ahead demand response to an edge node; the edge node issues a response task matched with the historical response capability of an aggregator to the aggregator according to the total day-ahead load response amount; the edge node receives day-ahead load response decision information uploaded by the aggregator; the edge node performs first-stage day-ahead power load prediction updating according to the day-ahead load response decision information; the edge node carries out second-stage hour-ahead power demand prediction updating according to hour-ahead power consumption overhead data reported by the aggregator on the day; the edge node analyzes the current consumption condition of the distributed power supply according to the hour-ahead distributed genera
AbstractList The invention provides a day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption, and belongs to the technical field of power systems. The method comprises the steps that a cloud computing node initiates a day-ahead demand response to an edge node; the edge node issues a response task matched with the historical response capability of an aggregator to the aggregator according to the total day-ahead load response amount; the edge node receives day-ahead load response decision information uploaded by the aggregator; the edge node performs first-stage day-ahead power load prediction updating according to the day-ahead load response decision information; the edge node carries out second-stage hour-ahead power demand prediction updating according to hour-ahead power consumption overhead data reported by the aggregator on the day; the edge node analyzes the current consumption condition of the distributed power supply according to the hour-ahead distributed genera
Author HUANG JIANPING
ZHANG QINGPING
XIA XUWEI
LI YONGLIANG
CHEN JIEWEI
LI XIAOLONG
LI XIUGUANG
YAN ZHENHUA
MA WANLI
MA JUNWEI
GUO SHAOYONG
LUO HAIRONG
ZHANG SHUANG
WU MINRONG
DING MAOSHENG
MA RUI
LIU JIA
WANG FENG
GAO BO
ZHU DONGGE
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– fullname: ZHANG SHUANG
– fullname: GUO SHAOYONG
– fullname: HUANG JIANPING
– fullname: DING MAOSHENG
– fullname: LI XIUGUANG
– fullname: LIU JIA
– fullname: ZHANG QINGPING
– fullname: CHEN JIEWEI
– fullname: MA JUNWEI
– fullname: WU MINRONG
– fullname: GAO BO
– fullname: ZHU DONGGE
– fullname: WANG FENG
– fullname: YAN ZHENHUA
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RelatedCompanies STATE GRID SHANXI ELECTRIC POWER COMPANY INFORMATION & TELECOMMUNICATION BRANCH
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER CO., LTD
BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
ELECTRIC POWER SCIENTIFIC RESEARCH INSTITUTE OF STATE GRID ZHEJIANG ELECTRIC POWER CO., LTD
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Snippet The invention provides a day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption, and belongs to the...
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SubjectTerms CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Title Day-ahead and hour-ahead two-stage demand response method based on distributed power generation consumption
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