Multi-time-scale multi-target energy optimization scheduling method for power grid

• Main Authors: FAN LUQIN, HE YU, SHI GUOYI, QIN DIAN, ZHANG JING
• Format: Patent
• Language: Chinese; English
• Published: 17.09.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a multi-time-scale multi-target energy optimization scheduling method for a power grid. The method comprises the following steps: S1, collecting historical operation data of the power grid; S2, based on historical operation data, establishing an uncertainty description power grid weak robustness multi-objective optimization model, a day-ahead optimization scheduling objective function and day-ahead optimization scheduling constraint conditions, and constructing a day-ahead long-time weak robustness multi-objective optimization scheduling model; S3, solving the day-ahead long-time weak-robustness multi-objective optimization scheduling model, and obtaining a day-ahead scheduling plan; S4, based on the actual scheduling plan and the day-ahead scheduling plan of the power grid, establishing an intra-day control time domain and a performance index, and constructing an intra-day MPC rolling optimization scheduling model; and S5, carrying out real-time rolling correction on the day-ahead sch