Co-optimized Scheduling of Multi-Microgrids and Active Distribution Network Considering Leasing Shared Energy Storage

Energy storage is widely used to smooth out new energy fluctuations, but the investment cost and the O&M cost of energy storage equipment are very high. Furthermore, the varying demand-side power consumption behaviors will lead to low equipment utilization and waste of energy storage resources. Aiming at the above problems, a co-optimized scheduling method of multi-microgrids and active distribution network (ADN) considering leasing shared energy storage (SES) is proposed. Firstly, a multi-principal energy trading framework is constructed. Secondly, a cooperative scheduling model of multi-microgrids and ADN is built and decomposed into a two-stage problem. In the first stage, the objective is minimizing the total social operating cost, and the trading power between microgrids (MGs) is captured. In the second stage, the Nash bargaining model is used to achieve a fair distribution of benefits among multiple subjects. Finally, the proposed method is simulated and validated by using the improved IEEE 33-bus system. The simulation results show that the proposed method effectively improves the utilization of energy storage, promotes the local consumption of renewable energy, and realizes the win-win benefit of multiple subjects.