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Harmonics Mitigation Using MMC Based UPFC and Particle Swarm Optimization

C. Gnana Thilaka*, M. Mary Linda

Ponjesly College of Engineering, Nagercoil, 629003, India

* Corresponding Author: C. Gnana Thilaka. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 3429-3445. https://doi.org/10.32604/iasc.2023.024028

Abstract

The application of non-linear loads in the power electronic device causes serious harmonic issues in the power system since it has the intrinsic property of retrieving harmonic current and reactive power from Alternating Current (AC) supply that leads to voltage instability. To maintain a reliable power flow in the power system, an innovative Unified Power Flow Converter (UPFC) is utilized in this proposed approach. The conventional series converter is replaced with the Modular Multilevel Converter (MMC) that improves the power handling capability and achieves higher modular level with minimized distortions. The shunt compensator assists in minimizing the voltage fluctuations and maximizing the voltage stability under different load constraints. The Direct Quadrature (DQ) theory is utilized in this study to separate the harmonic components by generating reference frame current. The Proportional Integral (PI) controller aids in maintaining the direct current potential difference in the constant mode whereas the Pulse Width Modulation (PWM) generator helps in delivering optimized output to the MMC. The gain parameters of PI controller are optimized with the aid of employing Particle Swarm Optimization (PSO). The entire work is validated using MATLAB simulink and the obtained outcomes proves that this new UPFC is highly beneficial in minimizing the distortions with reduced Total Harmonic Distortion (THD) of 2.21%.

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Cite This Article

C. G. Thilaka and M. M. Linda, "Harmonics mitigation using mmc based upfc and particle swarm optimization," Intelligent Automation & Soft Computing, vol. 35, no.3, pp. 3429–3445, 2023. https://doi.org/10.32604/iasc.2023.024028



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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