Vehicle-network collaborative optimization method and device considering charging load transfer, and storage medium

The invention discloses a vehicle-network collaborative optimization method and device considering charging load transfer and a storage medium, and belongs to the technical field of power distribution network economic dispatch, and the method comprises the steps: predicting the charging demand of an...

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Hauptverfasser: ZHOU YUFAN, GUI YAOCHENG, RONG LINA, LI WEIZHUO, GAO HUI, JIANG GUOPING
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creator ZHOU YUFAN
GUI YAOCHENG
RONG LINA
LI WEIZHUO
GAO HUI
JIANG GUOPING
description The invention discloses a vehicle-network collaborative optimization method and device considering charging load transfer and a storage medium, and belongs to the technical field of power distribution network economic dispatch, and the method comprises the steps: predicting the charging demand of an electric vehicle through employing a Monte Carlo method based on an electric vehicle user travel probability model; establishing a wind power and photovoltaic generator set uncertainty output model based on the probability distribution of wind speed and illumination; a vehicle-network cooperative scheduling model is constructed by combining the characteristics of disorder of a fast charging load and adjustability of a slow charging load and cooperating with the output of a distributed power supply; solving the multi-objective optimization model by adopting a non-dominated sorting genetic algorithm (NSGA-II) with an elitist strategy and a fuzzy decision; according to the invention, the peak-valley difference and th
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establishing a wind power and photovoltaic generator set uncertainty output model based on the probability distribution of wind speed and illumination; a vehicle-network cooperative scheduling model is constructed by combining the characteristics of disorder of a fast charging load and adjustability of a slow charging load and cooperating with the output of a distributed power supply; solving the multi-objective optimization model by adopting a non-dominated sorting genetic algorithm (NSGA-II) with an elitist strategy and a fuzzy decision; according to the invention, the peak-valley difference and th</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ; 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language chi ; eng
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subjects CALCULATING
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES
ELECTRICITY
ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL
GENERATION
MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES
PERFORMING OPERATIONS
PHYSICS
SYSTEMS FOR STORING ELECTRIC ENERGY
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRANSPORTING
VEHICLES IN GENERAL
title Vehicle-network collaborative optimization method and device considering charging load transfer, and storage medium
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