Double-layer optimization method for hybrid energy storage system of power distribution network under double-carbon target

The invention discloses a double-layer optimization method for a hybrid energy storage system of a power distribution network under a double-carbon target, and the method comprises the following steps: S1, constructing a hybrid energy storage system through the matching of a storage battery and a hy...

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Hauptverfasser:	CHEN YANG, GAO JUNYAO, LIN YUCHENG, YANG YANG, TANG XUYAO, HU AOYANG, ZHU ZHONGXI, LIANG YUCHAO, WANG ZHE
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING 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
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Beschreibung
Zusammenfassung:	The invention discloses a double-layer optimization method for a hybrid energy storage system of a power distribution network under a double-carbon target, and the method comprises the following steps: S1, constructing a hybrid energy storage system through the matching of a storage battery and a hydrogen energy storage system; s2, based on the hybrid energy storage system, a hybrid energy storage system double-layer optimization model is established, and the hybrid energy storage system double-layer optimization model is divided into an upper-layer locating and sizing model and a lower-layer optimization operation model; and S3, solving the double-layer optimization model of the hybrid energy storage system by adopting an improved multi-target particle swarm optimization algorithm based on a niche technology, and obtaining a Pareto optimal solution set, namely obtaining an optimal energy storage configuration scheme. According to the method, the hybrid energy storage system capacity and access point optimiza