Multi-time Scale Optimal Dispatching of Electric-Thermal Integrated Energy System Considering Multiple Uncertainties

Aiming at the optimal dispatching problem of the integrated energy system, an optimal dispatching strategy for the regional electric-thermal integrated energy system was proposed considering multiple uncertainties of both source side and load side, which was divided into day-ahead dispatching and real-time dispatching. Firstly, the uncertainty of wind power output is considered on the source side, and the error probability function of each power interval is obtained by box-partitioning of the historical scene data. On the load side, the price type demand response and incentive type demand response are respectively considered to participate in the dispatching to better absorb wind power. Secondly, in the day-ahead dispatching stage, the total operation cost of the system was the lowest, and in the day-day (real-time) dispatching stage, the adjustment quantity was the minimum. The optimization dispatching model of regional electric heating integrated energy system was established by considering the constraints of power and heat. Finally, the example is tested in a variety of scenarios, which verifies that the model can effectively absorb wind power while improving the operating economy of the system.