Study of Microgrid Interval Optimization Considering Source-Load Uncertainty and Interactive Power

The microgrid will be an important form in the construction of new power systems, and the uncertainty of source-load and interactive power need to be studied in microgrid. Considering the problems of seasonal mismatch between renewable energy output and load, and the unclear relationship between optimization influencing factors and results, a day-ahead interval optimization model of microgrid considering interactive power and different seasonal load demands is proposed. Based on the interval optimization theory, the uncertainty of wind and PV power output and load are expressed using interval numbers, and the percentage of forecasting values is measured as the interval range of uncertain variables, and then the day-ahead interval optimization model of microgrid considering source-load uncertainty is constructed. The simulation analyzes the load demand in different seasons under single-sided and double-sided uncertainty and the relationship with the interactive power of the upper grid. The results show the greater impact of considering the source-load dual-side uncertainty has a greater impact on the results of scheduling optimization, and further obtain the optimized interactive power, which effectively improves the system operation economy.