Firefly Assisted Genetic Algorithm for Selective Harmonic Elimination in PV interfacing Reduced Switch Multilevel Inverter

Priyanka Sen, Prabhat Ranjan Bana, Kaibalya Prasad Panda

Abstract


The rapid advancement in the power electronic sector has evolved multilevel inverter (MLI) for different applications. Now a day’s MLIs are chosen over the conventional two level inverters because of several advantages like less voltage stress, less electromagnetic interference, reduced filter size requirement, etc. However, the conventional MLIs require more device components to synthesize more levels. Considering this fact, this paper presents a novel 5-level MLI using fewer switch count suitable for standalone PV system. Furthermore, to effectively control and reduced the harmonics from the designed system, firefly assisted genetic algorithm (FAGA) based selective harmonic elimination (SHE) technique is developed. The targeted low-order harmonics from the output voltage of the proposed PV-MLI is eliminated using the FAGA algorithm. Existing firefly algorithm (FA) and genetic algorithm (GA) are also implemented for this purpose to verify the superiority of FAGA. Incremental conductance (IC) algorithm is used to yield the maximum power from the PV system. Simulation study of the overall system is carried out in MATLAB environment and the obtained results are discussed individually. An experimental test setup is developed finally to validate the working of PV integrated MLI with the SHE control scheme.

Keywords


Firefly assisted genetic algorithm (FAGA); maximum power point tracking (MPPT); multilevel inverter (MLI); photovoltaic (PV) system; selective harmonic elimination (SHE)

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v9i1.8687.g7561

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