Aiming at the complication and variability of the operation mode in power systems with high proportion of renewable energy,a short-term expansion planning method based on refined operation simulation was proposed to realize the synergistic optimal configuration of source-grid-storage.The method supported the accurate calculation of operation indexes through the refined simulation of operation process,so as to ensure the consistency of the operation indexes of planning solutions with objective functions.A synergistic source-grid-storage expansion model of power system that integrated initial investment and operational performance was constructed.The expansion planning problem was decomposed into a two-layer planning-operation optimization problem depending on model characterization,and refined operation simulation was embedded at the operation layer to ensure accurate calculation of operation indexes.The solution algorithm was designed by integrating the nondominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)considering the characteristics of the two-layer planning model to realize optimal selection of solutions that considered both the initial investment and the operational performance.Case study based on the IEEE-30 system showed that the proposed expansion planning method could avoid the deviation problem of planning method based on typical scenarios from the planning objectives and reduce the total cost of investment and operation by about 2%.
refined operation simulationcoordinated source-grid-storage expansion planninghigh proportion of renewable energygenetic algorithmtwo-layer planning model
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