<p>Energy harvesting systems are often employed by nodes of wireless sensors situated in remote or difficult-to-reach locations to convert natural sunlight into electrical power, diminishing the requirement for repeated battery changes. A power converter with Pulse Width Modulation (PWM) control and a power converter with Maximum Power Point Tracking (MPPT) control are two well-known techniques in the field that have been created for capturing solar energy. PWM-controlled power converters usually have an efficiency of about 87.76%, although their low State of Charge (SoC) is just 30%, as mentioned in (Himanshu Sharma in Modelling and Optimization of a Solar Energy Harvesting System for Wireless Sensor Network Nodes 7:1-19, 2018). However, under optimal circumstances, the MPPT-controlled power converter may achieve a higher SoC of 95% with an efficiency of 96.06%. The Power Optimized Grey Wolf Optimizer (PO-GWO) with MPPT and the Power Optimized Whale Optimization Algorithm (PO-WOA) with MPPT exhibit comparatively lower performance, with SoCs of 75.02% and 75.30% and efficiencies of 96.09% and 98.34%, respectively, indicating their limited effectiveness in sustaining battery charge. Though this performance is often limited to specific scenarios. To enhance energy management, two proposed methods have been introduced: a power converter with active disturbance rejection control (ADRC) and a Z-source inverter (ZSI) with ADRC. The ZSI with ADRC stands out as the greatest working solution, accomplishing an inspiring SoC of 96.12% and an overall efficiency of 99.54%, alongside a maximum battery output of 927.2 watts. This superior performance makes the ZSI with ADRC particularly advantageous for managing energy in Wireless Sensor Nodes (WSN), especially in environments with fluctuating solar input. By implementing these advanced techniques, energy harvesting systems can significantly extend the operational lifespan of WSN while reducing maintenance efforts associated with battery replacements.</p>