Abstract：In order to assess the adaptability of stand-alone microgrid (MG) to the annually varied operation condition,a dynamic assessment approach for MG planning based on long-term simulation is proposed.Primarily,a multiple-time theoretical framework of dynamic assessment is established,while an index system is constructed to assess the reliability,efficiency,cost,and environmental benefits of the planning schemes.Subsequently,a novel long-term simulation method is developed to perform the dynamic assessment.In the proposed simulation method,the annually varied factors concerning external environment and internal structure are simulated by dynamic modeling in the life cycle of MG; and the short-term uncertainties are characterized by sequential Monte Carlo simulation in each year.In the case study of a typical stand-alone microgrid,the validity and effectiveness of the proposed approach is verified by comparing to the results of HOMER,which is commonly used in the MG planning.The proposed approach can provide the assessment results containing the overall indices as well as the time-sequencing index sets of planning schemes in different scenarios,which is more comprehensive and flexible than the conventional static assessment.Thus it can be utilized to facilitate the decision of MG planning and generation expansion.
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