Optimal Scheduling of MGT-IES Considering Heat Load Uncertainty and Heating Characteristics

Considering the thermal and electricity needs of users in the integrated energy system, in recent years, combined heat and power systems with micro gas turbines as the core have been widely used in integrated energy systems. How to coordinate and schedule heating and power supply in an integrated energy system is very important. In this paper, we take a micro gas turbine-integrated energy system (MGT-IES) as the research object, aiming at the uncertainty of heat load, we adopt a multi-scenario random planning method, while combining user heating comfort the degree of ambiguity and the thermal inertia of the heating system are considered. The indoor thermal comfort index is used to convert the heat load demand from the traditional curve to the interval, so that the heat load is elastic at each point in time, and finally it is established to be more in line with the actual optimal scheduling model. The case analysis shows that after comprehensively considering the uncertainty of the heat load side and the thermal characteristics of the heating system, MGT-IES can effectively reduce the operation cost of the optimized dispatching while meeting the user's heat load demand.