<p>An efficient power management system improves the quality of power in a grid-connected environment by optimizing the utilization of wind and solar energy. It enables smooth integration of renewable sources by monitoring power flow. In the previous research there are many issues related to fluctuating power surplus, difficulty in power storage and so on. So initially, we construct a power grid model with a Wind-Solar PV system. Then, we implement Sensitivity based optimization theory that is used with the Markov decision process for minimizing the power fluctuations in the grid. After that we implement a coordinated energy management system that enables mutual-help type resilience to overcome backouts. Next, we implement the Autoencoder and jellyfish optimization technique to enhance the LFC system (AJOT-LFC) to reduce frequency fluctuations, power outages and voltages. Finally, we implement MPPT based on wind driven optimization (WDO) algorithm to overcome the solar irradiance and wind speed challenges. For implementation we employ the MATLAB R2023b simulation tool. Finally, we plot graph for the following metrics: Time (hr) versus Grid power (MW²), Planning year versus Planning cost, Time (s) versus Frequency (Hz), Time (s) versus Voltage (v), Time (s) versus Torque (NM). Our approaches performance is examined using numerical analysis, demonstrating that it performs better than the current methodologies across all measures.</p>