Artificial intelligence driven power system analysis method and intelligent software platform

• Main Authors: LI ZHUOHUAN, LI PENG, MA XIYUAN, XI WEI, WANG PENGYU, ZHOU CHANGCHENG, CHEN YANSEN, PAN SHIXIAN, YANG DUOTONG, XU YIZE, GE JUN, BAO TAO
• Format: Patent
• Language: Chinese; English
• Published: 09.06.2023
• Subjects: 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

The invention relates to an artificial intelligence-driven power system analysis method and an intelligent software platform. The platform comprises a multi-source data fusion module, a model training module and a power system analysis module, the multi-source data fusion module is used for performing fusion processing on acquired power grid data, and the model training module is used for performing multi-scene simulation on the fused power grid data. And a power system artificial intelligence model is trained based on the transient state sample and the steady state sample obtained through simulation, and the power system analysis module is used for calling the trained power system artificial intelligence model to carry out transient and steady state analysis on the received power grid data after fusion processing to obtain an analysis result. The method comprises an artificial intelligence-driven power system analysis method and a framework, and comprises the following steps: calling a trained power system a