Investigation on load harmonic reduction through solar-power utilization in intermittent SSFI using particle swarm, genetic, and modified firefly optimization algorithms
Affiliations: [a] Department of EEE, Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal, Tamilnadu, India
| [b] Department of CSE, ITM Vocational University, Vadodara, India
| [c] Department of EEE, Aditya College of Engineering & Technology, Surampalem, Andhra pradesh, India
| [d] Department of CSE, Gyan Ganga Institute of Technology and sciences, Madhya pradesh, India
| [e] Department of CSE, Indus Institute of Information & communication Technology, Indus University, Ahmedabad, Gujarat, India
| [f] Department of ECE, M. Kumarasamy College of Engineering (Autonomous), Karur, Tamilnadu, India
| [g] Department of Computer Science, Goverment Holkar Science College, Indore, India
Correspondence:
[*]
Corresponding author. Johny Renoald Albert, Department of EEE, Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal, Tamilnadu, India. E-mail: [email protected].
Abstract: A new Symmetric Solar Fed Inverter (SSFI) proposed with a reduced number of components compared to the classical, modified, conventional type of Multilevel Inverter (MLI). The objective of this architecture is to design fifteen-level SSFI, this circuit uses a single switch with minimizing harmonics, and Modulation Index (MI) values. Power Quality (PQ) is developed by using the optimization algorithms like as Particle Swarm Optimization (PSO), Genetic algorithm (GA), Modified Firefly Algorithm (MFA). It’s determined to generate the gating pulse and finding optimum firing angle values calculate as per the input of MPP intelligent controller schemes. The proposed circuit is solar fed inverter used for optimization techniques governed by switching controller approach delivers a major task. The comparison is made for different optimization algorithm has significantly reduced the harmonic content by varying the modulation index and switching angle values. SSFI generates low distortion output uses through without any additional filter component through utilizing MATLAB Simulink software (2020a). The SSFI circuit assist Xilinx Spartan 3-AN Filed Program Gate Array (FPGA) tuned by optimization techniques are presented for the effectiveness of the proposed model.
Keywords: Symmetric solar fed inverter, particle swarm optimization, genetic algorithm, modified
firefly algorithm, power quality
