Planning and operation of smart energetic projects have increased in complexity and requires a deeper analysis. The inclusion of renewable energy and distributed generation sources lead to an inherent difficulty to define appropriate models for decision-making. Nowadays, decisions in planning and operation are made level by level due to a disarticulation of information within the electrical sector and the stakeholders. Therefore, here is proposed an architectural decision model of multilevel-multiobjective to solve this problem. In this scheme, the problem of energetic assets sizing is on the upper level, while the problem of operation and dispatch of unit power is on the lower level. Both levels are related through quantitative tools (key performance indicators (KPI)) and qualitative tools (quality function deployment (QFD) and hierarchical analytical process (AHP)). This model was applied in the Yucatán peninsula. As a result, an integral solution with a lower cost and better environmental factor than the baseline for the region was obtained.