## 1 Introduction
In [10], a coordinated dispatch strategy of the combined heat and power (CHP) unit, electric heating device, and electric energy storage device is presented, and the simulation results show that the thermal systems with large inertia time constant could effectively suppress the volatility of renewable energy and reduce its impacts on the power system. In [11], a calculation method for the energy storage capacity of the heating network is proposed, and the thermal inertia of the heating network is utilized to replace the energy storage for saving financial costs and coping with the uncertainty of renewable energy. Furthermore, the energy storage characteristics of EVs could be utilized to improve the consumption rate of renewable energy. In [12], an integrated utilization mode of EVs and PV is proposed to improve the self-distribution rate of PV generation in a small microgrid. In [13], the integration utilization of EVs, PV, and energy storage is analyzed economically. However, the impacts of the spatiotemporal distribution characteristics of EVs on the consumption of renewable energy have not been paid much attention. The above research works have made some progress in the economic dispatching of IES and the consumption of renewable energy, but they all focused on a single area, while the characteristics of various loads are greatly different in multiple functional areas. If the complementary characteristics of different functional areas are neglected, it is inevitable that the consumption of renewable energy is limited and the economic efficiency cannot approach to an optimal one. In [14], the IESs of multiple areas are connected through the distribution network and the heating network to form an integrated energy microgrid. In [15], the interaction of heating networks between areas with different load characteristics is analyzed, and the connection through the heating network is established to maintain the balance between the supply and demand through multiple regional IESs. In [16], for the peak-to-valley staggering phenomenon of cooling, heating, and electric loads in each subarea, the optimal energy dispatching strategy is proposed by coordinating the heating/cooling output of the CCHP systems in subareas to match the heating/cooling demands of the area. However, when the relative distance of each functional area is large, it is not suitable to utilize the heating/cooling networks to realize the connections between the functional areas due to the economic transmission distance problem of the heating/cooling loads. Few studies have considered multiarea IES dispatching and there is little consideration of the different load characteristics of different areas. Considering the different characteristics of multiple functional areas and different energy systems, a coordinated dispatching model of IESs is proposed in this paper. Through the complementarity of various energy systems and different loads in multiple functional areas, the absorption rate of renewable energy can be effectively improved. The remainder of this paper is organized as follows. In Section 2, the spatiotemporal characteristics of diversified loads in multiple functional areas are introduced, including the inertia and elasticity of heating/cooling loads, the spatiotemporal distribution of electric vehicles, and the optimum transmission distance of diversified loads, etc. In Section 3, a coordinated dispatching model of IESs is proposed, which considers the differences of multiple functional areas and various forms of energy systems. In Section 4, the numerical results are described and discussed. In Section 5, the conclusions are presented.