Power distribution network energy storage optimization configuration method and device

The invention provides a power distribution network energy storage optimization configuration method and device. The method comprises the following steps: obtaining an economic model of power distribution network energy storage according to a pre-constructed full life cycle cost model and a pre-cons...

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Hauptverfasser:	LI SHENGLEI, MA QINQIN, WANG LINNAN, CUI BING, PANG BINGYAO, XU FEI, HUO YONGBO, ZHAN XINRUI, CHEN XINGYUAN, ZHU YU, HAO LING, CHEN LEI, WANG JING, LUO YANLIN, GUO YIMING, LI YIFAN, LEI WEI, YANG LE, JIANG WEIQIANG, REN XIAOLONG, YANG HEE-JAE
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 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 provides a power distribution network energy storage optimization configuration method and device. The method comprises the following steps: obtaining an economic model of power distribution network energy storage according to a pre-constructed full life cycle cost model and a pre-constructed energy storage economic benefit model; based on a charge and discharge model and a capacity attenuation model of energy storage, obtaining an outer layer optimization model and an inner layer optimization model according to the economic model of energy storage of the power distribution network, a pre-constructed outer layer optimization objective function and an outer layer constraint condition, and a pre-constructed inner layer optimization objective function and an inner layer constraint condition; and solving the outer-layer optimization model and the inner-layer optimization model by adopting a genetic algorithm and a simulated annealing algorithm to obtain an optimal configuration scheme of the energy