This paper proposes a modified crow search algorithm with Tabu search algorithm (MCSTSA)-based power system analysis for efficient distribution of hybrid renewable energy source connected to a smart grid system. The proposed modified crow search algorithm is a novel metaheuristic population-based optimization algorithm. The voltage source inverter gets the control signals from the modified crow search algorithm for the power transfer among the load side converter and source side converter. The multiple objective function is modelled based on the real and reactive power required and to be generated from the grid. The Tabu search algorithm will execute in parallel to place the online control signals against the real power and reactive power. In the proposed technique, the control parameters are operated by the control model of power. The design of this model is developed and executed using MATLAB/Simulink. The optimized distribution of power in HRES using MCSTSA approach for PV, wind, and BESS is analyzed and is compared with techniques like crow search algorithm and genetic algorithm. The proposed technique outperforms the other methods and an effective distribution of power is shared to the load.