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Selection Method of Typical Time Sequential Scenarios Based on Comprehensive Evaluation Index System

High distributed generation integration into power systems increases the randomness and volatility of system operation. The selection of typical time sequential scenarios can effectively improve the speed and accuracy of the operation and planning calculations. However, the existing methods are difficult to select typical representative scenarios from a large amount of data, and lack effective evaluation indexes. Considering the total and distribution characteristics of resources and loads, as well as the influence of common and extreme scenarios on scenario selection, this paper proposes a comprehensive evaluation index system for typical sequential scenarios selection. Then, a multi-objective mixed-integer linear programming (MOMILP) model for typical scenarios selection is established, and a two-stage fuzzy method is used to solve the compromise solution. Finally, the effectiveness and feasibility of the proposed method is verified in an economic dispatch and planning case of a real microgrid.