Abstract:

To address the problems of high computational burden and difficulty in privacy protection in the cross-regional collaborative operation of hydrogen-electricity-heat integrated energy microgrid clusters, this paper proposes a non-iterative decentralized collaborative scheduling method based on polyhedral equivalent aggregation. Firstly, an aggregated equivalent model of the hydrogen-electricity-heat integrated energy microgrid is established, where each subsystem is represented by an equivalent generator and an equivalent energy storage device. Secondly, a polyhedral contraction method is proposed to map the feasible regions of the equivalent generator and storage device to a lower dimension. Finally, the contracted feasible regions are transformed into linear constraints that can be directly processed by solvers, which are embedded into the collaborative optimal scheduling problem of the hydrogen-electricity-heat integrated energy microgrid clusters. The optimal scheduling decisions of each microgrid can be obtained through solution. The proposed polyhedral equivalent aggregation approach avoids the exchange of private information such as user demands between microgrids and eliminates the time-consuming iterative processes existing in traditional distributed algorithms. The proposed model and method are tested on a two-area 6-6-8 bus hydrogen-electricity-heat integrated energy interconnected microgrid system and a two-area 40-33-13 bus hydrogen-electricity-heat integrated energy interconnection microgrid system, verifying its advantages such as computational efficiency and privacy protection.

Key words: hydrogen-electricity-heat integrated energy system, microgrid, polyhedral equivalent aggregation method, decentralized collaboration