Multi-microgrid cooperative modeling based on power router and time-space interconnection scheduling strategy

To address the uneven spatio-temporal distribution of multi-microgrid (MMG) resources and the uncertainty caused by renewable energy sources (RES) and loads, this paper proposes a collaborative model for MMG. It incorporates closed-loop design and closed-loop operation, along with a scheduling strategy that optimizes spatio-temporal interactions. The strategy is based on power routers (PR). This model introduces the energy routing function of PR, which improves the scheduling flexibility of the system and curbs the abandonment of wind and light in a single microgrid (MG). Based on the advantages of complementary RES across MMG and utilizing the real-time monitoring function of PR, the optimal scheduling strategy for spatio-temporal interactions aid is proposed. It minimizes the operating cost of the system and improves the stability of the system's power supply . In addition, demand response (DR) based on real-time price (RTP) is introduced in the proposed optimal scheduling strategy to minimize carbon emissions . The results indicate a daily operating cost reduction of ¥10,452.53/day, the MMG system's RES elimination rate is as high as 97.5 %, and the daily carbon emission is reduced by 26,555.735 kg/day. The PR application in the MMG system suppresses the uncertainty of the RES and the loads during the system's operation. • Proposed a PR-based closed-loop design and operation MMG collaboration model. • A spatio-temporal interactions optimization scheduling strategy of RES is proposed. • Adjusting flexible loads using an RTP-based demand response mechanism. • Use a semi-distributed energy routing algorithm to minimize transmission loss.