Distributed energy storage system wind power consumption capability monitoring method based on cloud computing

• Main Authors: JIN GUOFENG, LIU HONGYANG, WANG ZEDI, SUN JIE, HAN YONGQIANG, TENG YUN, YUAN YUANYUAN
• Format: Patent
• Language: Chinese; English
• Published: 15.05.2020
• Subjects: 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; 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

The invention discloses a distributed energy storage system wind power consumption capability monitoring method based on cloud computing and belongs to the technical field of new energy based on cloudcomputing analysis. The method comprises the following steo sof collecting environmental parameters of a wind power plant in a power grid and power grid loss coefficients in real time; comparing thepredicted value with a predicted value given by a local meteorological department before the day; providing a wind power real-time prediction value by cloud computing; in addition, predicting the loadof the power grid in real time according to the annual single-day maximum load of the power grid, environmental parameters and weather conditions; calculating the wind curtailment rate in real time according to the real-time wind curtailment rate and the charging and discharging power of the battery energy storage system at the current moment, and therefore the wind power consumption capacity ismonitored in real time. Acco