Improving Constant Power Supply By Integrating Solar To The Microgrid Using Intelligent Based Ultracapacitor

Abstract

The increasing demand for reliable and sustainable power supply has led to the integration of renewable energy sources, particularly solar energy, into micro grids. However, the intermittent and variable nature of solar generation poses significant challenges to maintaining a constant power supply. This study proposes an intelligent-based ultra-capacitor system to enhance the performance and stability of solar-integrated micro grids. By employing intelligent control algorithms, such as Artificial Neural Networks (ANN) or Fuzzy Logic Controllers (FLC), the ultra-capacitor is optimized to manage energy storage and delivery efficiently. The intelligent controller dynamically responds to fluctuations in solar output and load demand, ensuring seamless energy balancing, voltage stability, and reduced response time. Simulation and modeling results demonstrate that the integration of intelligent ultra-capacitors significantly improves the reliability, power quality, and continuity of supply within the micro grid. This approach offers a viable solution for addressing the limitations of conventional energy storage systems, paving the way for smarter and more resilient distributed energy networks. The conventional Solar irradiance variability that causes power failure in integration of solar to the micro grid was 43%. On the other hand, when an intelligent based ultra-capacitor was integrated into the system, it instantly reduced it to37.2% and the conventional Faults in distribution lines that causes power failure in integration of solar to the micro grid was9%. Meanwhile, when an intelligent based ultra-capacitor was inculcated into the system, it simultaneously reduced to7.8%. Finally, with these results obtained, the percentage improvement in constant power supply by integrating solar to the micro grid when an intelligent based ultra-capacitor was integrated into the system was 1.2%.