Wind-solar-storage combined system optimization method based on multi-target grey wolf algorithm

The invention requests to protect a wind-solar-storage combined system optimization scheduling method based on an improved multi-objective grey wolf algorithm, and the method comprises the steps: taking the minimum economic cost, the minimum grid-connected power difference and the maximum carbon emi...

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Hauptverfasser: YU MIN, DING BAOCANG, HU CHEN, ZHANG BO, LIAO MENGTING, LEI QIUYU, DU MAOCHUN
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creator YU MIN
DING BAOCANG
HU CHEN
ZHANG BO
LIAO MENGTING
LEI QIUYU
DU MAOCHUN
description The invention requests to protect a wind-solar-storage combined system optimization scheduling method based on an improved multi-objective grey wolf algorithm, and the method comprises the steps: taking the minimum economic cost, the minimum grid-connected power difference and the maximum carbon emission reduction as optimization objectives, and improving the multi-objective grey wolf optimization algorithm through introducing Tent chaotic mapping, a nonlinear convergence factor and a dynamic weight. And the improved multi-target grey wolf optimization algorithm is used to research the scheduling optimization of the wind-solar-storage combined system, so that the utilization rate of renewable energy sources is improved, the quality of a grid-connected power grid is improved, the random fluctuation of wind power and photovoltaic output is stabilized, and the wind-solar-storage complementary system outputs a relatively smooth supply curve so as to enhance the stability of the power grid. In addition, the method
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subjects CALCULATING
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
GENERATION
PHYSICS
SYSTEMS FOR STORING ELECTRIC ENERGY
title Wind-solar-storage combined system optimization method based on multi-target grey wolf algorithm
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