Multi-stage dynamic programming method for hydrogen-electric coupled microgrid considering multiple uncertainties

Traditional single-stage planning methods face with shortcomings such as high initial investment cost，weak matching degree between sources and loads，and insufficient economy. To this end，a multi-stage dynamic planning model for hydrogen-electric coupled microgrid is proposed. Both the optimal capacity and investment time of each device can be obtained by the proposed model，and the adaptability to multiple uncertainties is enhanced based on hybrid optimization architecture. The fluctuation uncertainty feature of equipment investment cost in the planning cycle is described by stochastic probability scenarios，and the uncertainty of renewable distributed generation output and load demand is addressed by uncertainty sets. Moreover，considering the dynamic factors such as load growth rate and device performance degradation in the planning cycle of microgrid to further improve the applicability of the planning scheme to the variation of future dynamic information，and the stochastic-robust mixed integer linear programming model is constructed to describe the multi-stage dynamic programming problem in the end. Simulative results show that compared with the traditional single-stage planning model，the total cost of the proposed method is reduced by nearly 5.0 %，the initial investment cost is reduced by nearly 13.9 %，and the payback period is shortened by nearly 32.9%，which is conducive to improving the economy of planning scheme for microgrid. © 2023 Electric Power Automation Equipment Press. All rights reserved.