Power distribution network multi-integrated energy system collaborative planning method based on MVA-ATC
A power distribution network-multi-integrated energy system collaborative planning method based on MVA-ATC comprises the following steps: describing source-load uncertainty in a system by using an interval number, establishing an uncertainty model, constructing a power distribution network-multi-IES...
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creator | CHENG YING WAN SIYU CHENG SHAN LU YUANTAO YAO JIAMEI |
description | A power distribution network-multi-integrated energy system collaborative planning method based on MVA-ATC comprises the following steps: describing source-load uncertainty in a system by using an interval number, establishing an uncertainty model, constructing a power distribution network-multi-IES distributed collaborative planning framework considering multiple interest subjects, initializing system parameters, and establishing a power distribution network-multi-IES distributed collaborative planning framework considering multiple interest subjects. Solving the main problem of the power distribution network according to the parameters such as initial subsystem response, coupling variables and deviation item weight coefficients, and inputting the parameters of the outer layer as constants after internal optimization at the outer layer; and in the inner layer, the unconstrained problem is optimized and solved, after the main problem is solved, the coupling variables serve as known parameters to be transmitte |
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Solving the main problem of the power distribution network according to the parameters such as initial subsystem response, coupling variables and deviation item weight coefficients, and inputting the parameters of the outer layer as constants after internal optimization at the outer layer; and in the inner layer, the unconstrained problem is optimized and solved, after the main problem is solved, the coupling variables serve as known parameters to be transmitte</description><language>chi ; eng</language><subject>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</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240621&DB=EPODOC&CC=CN&NR=118228972A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240621&DB=EPODOC&CC=CN&NR=118228972A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHENG YING</creatorcontrib><creatorcontrib>WAN SIYU</creatorcontrib><creatorcontrib>CHENG SHAN</creatorcontrib><creatorcontrib>LU YUANTAO</creatorcontrib><creatorcontrib>YAO JIAMEI</creatorcontrib><title>Power distribution network multi-integrated energy system collaborative planning method based on MVA-ATC</title><description>A power distribution network-multi-integrated energy system collaborative planning method based on MVA-ATC comprises the following steps: describing source-load uncertainty in a system by using an interval number, establishing an uncertainty model, constructing a power distribution network-multi-IES distributed collaborative planning framework considering multiple interest subjects, initializing system parameters, and establishing a power distribution network-multi-IES distributed collaborative planning framework considering multiple interest subjects. 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Solving the main problem of the power distribution network according to the parameters such as initial subsystem response, coupling variables and deviation item weight coefficients, and inputting the parameters of the outer layer as constants after internal optimization at the outer layer; and in the inner layer, the unconstrained problem is optimized and solved, after the main problem is solved, the coupling variables serve as known parameters to be transmitte</abstract><oa>free_for_read</oa></addata></record> |
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subjects | 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 | Power distribution network multi-integrated energy system collaborative planning method based on MVA-ATC |
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