Microgrid Stabilization by Electrolyzer with Optimal Fuzzy Gain Scheduling PID Control

Theerawut Chaiyatham and Issarachai Ngamroo


Electrolyzer, microgrid, fuzzy gain scheduling, bee colony optimization


This paper presents the alleviation of power fluctuation by the electrolyzer (EZ) in a stand-alone microgrid (MG) with hybrid power generations from wind, photovoltaic, fuel cell, and diesel engine. In this MG, the intermittent power generations from wind and photovoltaic cause the severe power fluctuation. With the fast response of EZ, the power absorbed by EZ can be controlled to compensate for power oscillation, in addition to the hydrogen production for fuel cell. The structure of active and reactive power controllers of EZ is the fuzzy gain scheduling of proportional-integral-derivative (FGS-PID) controller. Without trial and error, the scale factors, the membership functions, and the control rules of the FGS-PID controller are automatically optimized by bee colony optimization. Simulation study confirms that the proposed EZ with optimal FGS-PID controller is much superior to the optimal PID controller in terms of damping effect and robustness against disturbances.

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