Improved Butterfly Optimization Algorithm: PI Controller for 7-Level Inverter

Improved Butterfly Optimization Algorithm: PI Controller for 7-Level Inverter


  • Meghna Sangtani University of Michigan, Ann Arbor, Dearborn, United States


Electricity, MPP RES, Optimization Algorithm, PV, PIController


In environmental parameters, the Photovoltaic (PV) system generates electricity which varies with deviations as well as at the Maximum Power Point (MPP) the PV network will operate. In addition, to improve the effectuality and also the Renewable Energy Sources (RES) performance, the energy storage devices can act as a possible solution. Moreover, this work tries to set up a control model using an optimization algorithm aided PI controller for the seven-level inverter. On the basis of this, the Proportional Integral (PI) controller increases are attuned dynamically using the Improved Butterfly Optimization Algorithm (IBOA). The increase must be maintained so that the error between the fault signal and reference signal must be the least. Therefore, using the developed optimized PI controller, superior dynamic performance can be attained. At last, the developed model performance is evaluated with the conventional models regarding various metrics, and the proposed method shown its dominance over the conventional models.


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How to Cite

Meghna Sangtani. (2021). Improved Butterfly Optimization Algorithm: PI Controller for 7-Level Inverter: Improved Butterfly Optimization Algorithm: PI Controller for 7-Level Inverter. Journal of Computational Mechanics, Power System and Control, 4(3). Retrieved from