Abstract
This is an earliest effort towards synchronized frequency-voltage regulation in an isolated clean energy-based hybrid microgrid using a novel Green Leaf-hopper Flame optimization (GLFO) algorithm. The work thrived to model an isolated microgrid, producing power from different sustainable energy sources like solar, wind, agricultural and domestic waste, supported with bio-hydrogen storage. However, the intermittent nature of these resources during different climatic conditions crafts abundant challenges to meet the varying demands with a reliable supply of power. Concerned with this, the microgrid is simulated in MATLAB proposing a new GLFO algorithm and Integral-Square of Weighted Absolute Error (ISWAE) based objective function for minimizing the net deviations in apparent power of the system. Initially, performances of the system are compared by estimating the Figures of demerit indices with five algorithms, five objective functions, and four controllers, which confirms the superiority of proposed GLFO considering ISWAE by tuning PID controllers. Finally, the simulation results for five extreme scenarios are analyzed including the source or load variations in this microgrid and reported the system adaptability using real-time recorded data.
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