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Optimal bio-inspired fuzzy adaptive control strategy for frequency and power control of a battery-integrated AC microgrid
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DOI：10.1016/j.est.2026.123680.png)
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Abstract
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• Proposed a resilient Fuzzy Adaptive Exponent Control (FAEC) strategy for efficient power distribution in AC microgrids under dynamic loading conditions. • Developed a novel Botox Optimization Algorithm (BOA) for optimal tuning of FAEC controller parameters. • FAEC demonstrated 105.24% faster stabilization of ΔPZ1 compared to fuzzy PID and >500% improvement over PID controllers. • BOA outperformed conventional optimizers such as SCA and PSO in achieving optimal controller performance. • The combined BOA–FAEC framework ensures reliable secondary control, maintaining frequency stability and enhancing microgrid resilience in islanding operation.
Keywords:
Islanded AC microgrid
Power generation management
Distributed generation
Fuzzy adaptive exponent controller
Step load dynamics
Botox optimization algorithm (BOA)
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