Multi-time Optimal Dispatch of AC-DC Hybrid Microgrid with Spatiotemporal Discrepancy

Abstract

AC-DC hybrid microgrid with high permeability of renewable energy and its special system structure poses a challenge to the rational dispatch of AC-DC hybrid microgrid. To solve the problem, a multi-time period stochastic optimization of AC-DC hybrid microgrid scheduling strategy is proposed in this paper, which considers spatiotemporal differences. In the day-ahead optimal stage, the comprehensive consideration of the operating costs and characteristics of each distributional unit and bidirectional AC/DC power converter in the microgrid, a backup plan is developed to cope with the uncertainties of wind and AC/DC loads. In the intra-day scheduling stage, multi-scenario analysis technology is used to simulate the uncertainty of wind and AC and DC loads, and the intra-day rolling optimization dispatch model is constructed to ensure the validity of the day-ahead plan and fully suppress the power fluctuations caused by the day-ahead forecasting errors. Finally, by an example, the results show that the method can effectively deal with the influence of multi-uncertainties of the AC-DC hybrid microgrid.