By taking into account the heat and power demands of users in a microgrid

in recent years

the combined heat and power(CHP)system in which micro gas turbines are the core has been widely used. How to coordinate the heat and power supplies of a microgrid is the key to improving the accommodation of renewable energy source(RES)and reducing the CHP cost. The fuzzy character of thermal comfort and thermal inertia of heating system in CHP microgrid are considered. The predicted mean vote(PMV)index for evaluating the indoor thermal comfort is used to convert the traditional heat load curve to an interval

enabling the heat loads to possess elasticity at each moment. In addition

an auto-regressive and moving average(ARMA)model is used to characterize the multi-period coupling of the multiple temperature parameters in the heating system

i. e. thermal inertia

thereby making heat supply adjustable on the time axis. The above two characteristics together are called two-dimensional controllability of heat loads. In the simulation

considering two-dimensional controllability of heat loads

the operation stability of the micro gas turbine

wind/photovoltaic curtailment

electricity purchase/sales etc in the islanded/grid-connected mode are analyzed. And the results show that the proposed method can effectively weaken rigid coupling of electric power generation and heat supply

providing a new idea to the realization of the time shift and optimal matching of heat and power in a microgrid.