Abstract:  ABSTRACT：   For the situation that a large number of wind curtailment occurred during the heating season under the running mechanism of ‘Ordering power by heat’ in the northeast, north and northwest regions, this paper proposes an approach to joint scheduling of different energy storage for improving wind power accommodation ability in integrated energy system （IES）. Firstly, we set up the structure of integrated community energy system combined power and heat energy storage devices, which takes the electric vehicle as the flexible power storage device and models the subsystems of the system. Secondly, we construct the optimized scheduling model of different energy storage in integrated community energy system, which takes the best wind power accommodation ability as goal and the running condition of power and heat network as constraints. Thirdly, we apply quantum particle swarm optimization algorithm to adjust the output power of cogeneration units through multi-type energy storage devices in the system. Finally, through comparison and analysis by example, it is proved that adding different types of energy storage devices in the region can improve wind power accommodation capacity, and the consideration of interregional energy interconnection can increase the utilization of energy.

Key words:  KEYWORDS： energy Internet, integrated community energy system, energy storage devices, wind power accommodation, optimal scheduling, quantum particle swarm optimization algorithm