Offshore oilfield group independent power grid energy storage optimal configuration method considering wind power characteristics

The invention relates to an offshore oilfield group independent power grid energy storage optimal configuration method considering wind power characteristics, which comprises the following steps: S1, acquiring offshore wind power original data, and establishing a Gaussian mixture model of offshore w...

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Bibliographische Detailangaben
Hauptverfasser:	LI GUOXIANG, CHE JIUWEI, ZHENG LING, TA LA, YAN MINSHAN, XIE YAFEI, WEI CHONG, WANG HAITAO, WANG MINGZHOU, HUANG CUN, GAO XUAN, ZHAO NA, QIU YINFENG, WEE CHUL
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 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 relates to an offshore oilfield group independent power grid energy storage optimal configuration method considering wind power characteristics, which comprises the following steps: S1, acquiring offshore wind power original data, and establishing a Gaussian mixture model of offshore wind power output according to the offshore wind power original data; s2, generating wind power data according to the Gaussian mixture model of the offshore wind power output, and performing clustering analysis on the wind power data to obtain a plurality of offshore wind power typical output curves and the probability of each offshore wind power typical output curve; s3, solving a PCS power minimum value of energy storage in the offshore oilfield group independent power grid according to a pre-constructed offshore oilfield group frequency response model; and S4, inputting the multiple offshore wind power typical output curves, the probability of each offshore wind power typical output curve and the PCS power minimu