This research presents the design and modelling of an autonomous microgrid with advanced frequency control, integrating renewable energy sources and Electric Vehicles (EVs), including their associated battery storage, as essential system components. Frequency control is critical in microgrid operations to maintain power system stability, prevent cascading failures, and ensure a reliable power supply despite fluctuations in generation and demand of renewable sources. The study focuses on modeling a local voltage-based microgrid that incorporates solar photovoltaic (PV) and wind turbine generator (WTG) systems, a fleet of EVs, and storage solutions to address the intermittency of renewable energy sources. To achieve coordinated control, an enhanced and advanced modified fractional-order controller, termed the 1 + MFOPID controller, is introduced. This controller incorporates a constant value of 1 and is optimized using an advanced optimizer with a newly designed cost function. The superiority of the proposed control strategy is validated in ensuring precise frequency regulation and delivering ancillary services, thereby enhancing the stability and efficiency of microgrid operations. Further, the effectiveness of the proposed model is evaluated under various operational scenarios, including sharp step load variations and dynamic load profiles. Comparative analysis of overshooting and settling time in frequency demonstrates the superior performance of the 1 + MFOPID controller over conventional control mechanisms such as the fractional-order proportional-integral-derivative (FOPID) and classical PID controllers. Furthermore, the impact of battery storage, including EVs, on frequency regulation is examined, and its influence on system performance is thoroughly discussed. The results underline the adaptability and reliability of the suggested management scheme in maintaining system stability while accommodating the dynamic interaction of renewable energy sources and EVs.