articleIEEE Transactions on Industry ApplicationsJun 12, 2024HYBRID OA

Advancing Electric Vehicle Charging Ecosystems With Intelligent Control of DC Microgrid Stability

MKManoj Kumar SenapatiOAOmar Al ZaabiKAKhalifa Al HosaniKAKhaled Al JaafariCPChittaranjan Pradhan

Government College of Engineering, Keonjhar · Khalifa University of Science and Technology · +1 more institution

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Abstract

The increasing adoption of renewable energy sources (RES), such as solar photovoltaics and wind turbines, is transforming electricity generation. However, integrating RES within DC microgrids (DCM) for applications such as fast DC charging in electric vehicles (EVs) presents challenges, including low inertia, power fluctuations, and voltage instability. This study addresses these challenges with novel control strategies and optimization algorithms. A hybrid Firefly Algorithm-Particle Swarm Optimization (FA-PSO) approach is used to tune Takagi-Sugeno Fuzzy Inference Systems (TSFIS), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Fractional Order Proportional-Integral-Derivative (FO-PID) controllers. This…

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124
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37.66
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100%
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47
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6

Topics & keywords

Topics
Keywords
  • Microgrid
  • Electric vehicle
  • Stability (learning theory)
  • Control (management)
  • Electronic stability control
  • Automotive engineering
  • Electrical engineering
  • Engineering
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