Robustness real-time scheduling method in consideration of estimation error of injection transfer distribution factor

• Main Authors: MIAO FUFENG, MAO YUBIN, YANG MING, ZHAI HEFENG, HAN XUESHAN, LIU DAOWEI, MA SHIYING, LIU YONGMIN
• Format: Patent
• Language: Chinese; English
• Published: 18.08.2017
• 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 robustness real-time scheduling method in consideration of the estimation error of an injection transfer distribution factor. The method comprises the steps of firstly, establishing a probability estimation model for an injection transfer distribution factor based on the Bayesian linear regression theory by utilizing real-time measurement data; and secondly, solving to obtain an error interval of the injection transfer distribution factor. Furthermore, the method is targeted to the operating economy of the power grid, and a real-time scheduling model in consideration of the node injection power disturbance and the estimation error of the injection transfer distribution factor at the same time is constructed. Meanwhile, based on the Soyster robustness optimization method, the solving algorithm of the model is provided. According to the technical scheme of the invention, the effectiveness of the method is verified through the test, the calculation and the analysis of a simple 6-node sy