This research presents a novel two-level coordinated optimization model for the integrated operation and planning of capacitors and renewable energy sources (RES), specifically wind and solar photovoltaic (PV)-based distributed generation (DG), while incorporating network reconfigu-ration (NR). The first level optimizes the allocation of RES and capacitor devices, whereas the second level manages the scheduling of active and reactive power for RES and capacitors, along with NR operation. The proposed methodology is designed to reduce investment and operation-al expenditures encompassing costs associated with electricity procurement from substations, carbon emissions, unserved energy, and power losses. To address uncertainties in load demand and RES generation, a stochastic module is implemented. The framework has been tested on both the IEEE 33-bus and IEEE 69-bus distribution systems under various scenarios and solved using the proposed multi-layer Crayfish Optimization Algorithm (COA). The results reveal that the proposed framework operates effectively, with costs going down by about 50% in IEEE 33-bus system and a 60% in the IEEE 69-bus system. Also, a comparison with existing methods in the literature shows the superiority of the proposed method, with a 96.09% loss reduction compared to the base case. These improvements make the network more efficient, reliable, and flexible while significantly cut down the carbon emissions.