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Moth Flame Optimization Based Fuzzy-PID Controller for Power–Frequency Balance of an Islanded Microgrid
In recent decades, penetrations of various renewable energy sources (RESs) and their intermittent nature result a drastic mismatch of power between the generation and load in microgrid (MG) systems. Presently, the forefront issues are to ensure the system stability and reliability by minimizing the power mismatch under the presence of these intermittent RES units. In response to this challenge, a novel moth flame optimization (MFO) based fuzzy proportional integral derivative (PID) controller is implemented to ensure better stability and proper power management in the islanded MG systems. Further, the performance verification of the proposed intelligent controller is carried out considering various case studies under different MG scenarios. In order to analyze robustness and sensitivity of the proposed controller, detailed investigations are also carried out implementing variations in solar-wind power output under random load perturbation (RLP). Further, the presented comparative analyses and dynamic responses validate the superiority of the proposed controller compared to recent adopted control schemes.
Moth Flame Optimization Based Fuzzy-PID Controller for Power–Frequency Balance of an Islanded Microgrid
In recent decades, penetrations of various renewable energy sources (RESs) and their intermittent nature result a drastic mismatch of power between the generation and load in microgrid (MG) systems. Presently, the forefront issues are to ensure the system stability and reliability by minimizing the power mismatch under the presence of these intermittent RES units. In response to this challenge, a novel moth flame optimization (MFO) based fuzzy proportional integral derivative (PID) controller is implemented to ensure better stability and proper power management in the islanded MG systems. Further, the performance verification of the proposed intelligent controller is carried out considering various case studies under different MG scenarios. In order to analyze robustness and sensitivity of the proposed controller, detailed investigations are also carried out implementing variations in solar-wind power output under random load perturbation (RLP). Further, the presented comparative analyses and dynamic responses validate the superiority of the proposed controller compared to recent adopted control schemes.
Moth Flame Optimization Based Fuzzy-PID Controller for Power–Frequency Balance of an Islanded Microgrid
J. Inst. Eng. India Ser. B
Sanki, Prasun (author) / Mazumder, Surjakanta (author) / Basu, Mousumi (author) / Pal, Partha Sarathi (author) / Das, Debapriya (author)
Journal of The Institution of Engineers (India): Series B ; 102 ; 997-1006
2021-10-01
10 pages
Article (Journal)
Electronic Resource
English
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