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Article type: Research Article
Authors: Vidhya, K.a; * | Krishnamoorthi, K.b
Affiliations: [a] Department of Electrical and Electronics Engineering, Velammal Engineering College, affiliated to Anna University, Chennai, Tamilnadu, India | [b] Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, Tamilnadu, India
Correspondence: [*] Corresponding author. K. Vidhya, Research scholar, Department of Electrical and Electronics Engineering, Velammal Engineering College, affiliated to Anna University, Chennai, Tamilnadu, India. E-mail: vidhyasivakumar05@gmail.com.
Abstract: In this manuscript, a hybrid approach is proposed for multi-functional grid connected photovoltaic (PV) interleaved inverter using power quality(PQ) enhancement. The proposed method is the integration of Spherical Evolution Search Algorithm (LSE) and Wild Horse Optimizer (WHO), thus it is called LSE-WHO method. The key objective of the proposed method lessens the DC voltage fluctuation and enhances the PQ. At the grid side, the interleaved inverter is used and it consists of 4 legs and every leg has a power electronic switch and a diode. Because of the structure of interleaved inverter, the shoot-through effect overcomes. The system performance is improved by the utilization of interleaved inverter. The operation of proposed method is divided into 2 parts, like harmonics reduction and power harvesting. The LSE method is used to improve the maximal power of photovoltaic and the WHO method is used to lessen the harmonics distortion and eliminated the DC-link voltage fluctuation by double band hysteresis current controller (DBHCC). The switching losses are low because the DBHCC gives lesser switching frequency. Then, the LSE-WHO method is done in MATLAB, and its performance is compared to the existing methods. From the simulation, it conclude that the LSE-WHO method provides the THD as 2.12% and improves the PQ.
Keywords: Power quality, power harvesting, grid connected PV, interleaved inverter, DC voltage fluctuation, switching losses, harmonic
DOI: 10.3233/JIFS-221561
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 2, pp. 3843-3865, 2024
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