High-proportion renewable energy power grid adaptability planning method based on joint weighted entropy

The invention discloses a high-proportion renewable energy power grid adaptability planning method based on joint weighted entropy. The method comprises the following steps: S1, establishing a power transmission network multi-objective planning model based on the adaptability index, the planning mod...

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Hauptverfasser: LI AO, SU YUNCHE, YANG XINTING, LEI YUNKAI, LIU FANG, LIU YING, CHAO HUAWEI, GOU JING
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creator LI AO
SU YUNCHE
YANG XINTING
LEI YUNKAI
LIU FANG
LIU YING
CHAO HUAWEI
GOU JING
description The invention discloses a high-proportion renewable energy power grid adaptability planning method based on joint weighted entropy. The method comprises the following steps: S1, establishing a power transmission network multi-objective planning model based on the adaptability index, the planning model taking a newly-built power transmission line as a variable and taking a total construction cost,a power grid state adaptability index and a power grid structure adaptability index as objective functions, and the constraint conditions including a power grid connectivity constraint, a newly-builtline return constraint and a power grid safe operation constraint; and S2, solving the power transmission network multi-target planning model by adopting a multi-target particle swarm algorithm in combination with a data envelope analysis method with an analytic hierarchy constraint cone to obtain an optimized planning scheme. The method is based on the uniformity theory and the entropy theory, considers the safety and sta
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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 High-proportion renewable energy power grid adaptability planning method based on joint weighted entropy
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