Abstract:

The rapid proliferation of electric vehicles (EVs) and photovoltaic (PV) systems presents transformative opportunities for sustainable energy ecosystems. However, challenges such as grid instability, energy inefficiency, and dynamic environmental conditions demand innovative solutions. Highlighting management framework that integrates PV systems with Vehicle-to-Grid (V2G) technology, leveraging intelligent control strategies to optimize energy flow, enhance grid resilience, and maximize renewable energy utilization.

Key points:

1. Neuro-Fuzzy versus ANN Control for Maximum Power Point Tracking (MPPT):
   • A hybrid Neuro-Fuzzy compared with ANN in solar energy extraction under fluctuating irradiance and temperature.

1. Bidirectional Energy Management with Fuzzy Logic:
   • A Mamdani-type Fuzzy Logic Controller (FLC) dynamically regulates V2G and Grid-to-Vehicle (G2V) operations, prioritizing grid support during peak demand and EV charging during off-peak periods.
   • Ensures battery longevity by minimizing frequent charge-discharge cycles.

1. Grid Integration:
   • Voltage Source Converters (VSC) with LCL filters for DC-AC conversion, delivering sinusoidal waveforms (415V phase-to-phase, 240V phase-to-ground).

Speaker Bio:

Mr. Mazen Mohamed is currently pursuing his Master’s Degree in Systems and Control and Engineering in the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.