Multi-time scale optimal scheduling strategy of multi-microgrid based on market mechanism

Aiming at the problem of complex power interaction between multiple microgrids or with the grid in a regional power distribution network at different time scales, a multi-microgrid optimization scheduling method including multiple time scales was proposed. In the day-ahead dispatching (30 min), a power distribution system scheduling model with multi-microgrids was established by considering the power fluctuation and economy of the distribution system, and the reference values of external power exchange for each microgrid were obtained. Through the market mechanism, each microgrid in the system was guided to formulate day-ahead micro network scheduling plan, and the profit distribution mechanism of multiple microgrids was established based on entropy weight method. In the intraday scheduling (15 min), a hybrid energy storage system was configured to eliminate the error of the day-ahead scheduling. According to the difference of the charging and discharging characteristics of different types of energy storage, wavelet packet was used to decompose the charging and discharging power of hybrid energy storage in frequency domain. To store the power-type energy, considering the imbalance of charging and discharging power under the frequent charging and discharging, the SOC was adjusted by fuzzy feedback. The calculation analysis of the example shows that multiple micro-grids can optimize the operation of the distribution system through autonomous consumptive control and coordinate mutual control on multiple time scales. At the same time, the adaptive control of charge and discharge power for the energy storage can effectively improve mutual ability between each microgrids. © 2020, Harbin University of Science and Technology Publication. All right reserved.