New energy double-layer collaborative optimization scheduling method based on MOABC

New energy double-layer collaborative optimization scheduling method based on MOABC

The invention provides a new energy double-layer collaborative optimization scheduling method based on MOABC, and the scheduling method comprises the steps: constructing a new energy double-layer collaborative optimization scheduling model based on an MOABC algorithm, and the construction of the new...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHU QIHU, YANG LING, LI WENJUAN, XIANG CHUNYOU, HUANG JISHENG, LUO ZHENGYA, XIE ZHANGQING, LI ZHOULONG, ZHANG HAITAO, CHEN XIAO, GONG YONGZHI
Format: Patent
Sprache:chi ; eng
Schlagworte:
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
ELECTRICITY
GENERATION
PHYSICS
SYSTEMS FOR STORING ELECTRIC ENERGY
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention provides a new energy double-layer collaborative optimization scheduling method based on MOABC, and the scheduling method comprises the steps: constructing a new energy double-layer collaborative optimization scheduling model based on an MOABC algorithm, and the construction of the new energy double-layer collaborative optimization scheduling model based on the MOABC algorithm comprises the steps: obtaining new energy output data and constructing an energy storage unit characteristic model; constructing a scheduling strategy according to the new energy double-layer collaborative optimization scheduling model based on the MOABC algorithm, wherein the construction of the scheduling strategy comprises Gaussian mutation algorithm processing, chaotic disturbance ABC algorithm processing, chaotic artificial bee colony initialization processing and double-layer objective function optimal solution processing; the double-layer objective function optimal solution processing comprises construction of a dou