Efficient Harmonic Distortion Reduction using Moth Flame Optimization in Multi Level Inverters

Problem Definition

The problem of harmonic distortion in Multilevel Inverters (MLIs) is a critical issue that hinders the performance and efficiency of power electronics systems. Various optimization algorithms have been proposed to address this problem, with different degrees of success. Among these approaches, the Salp Swarm Algorithm (SCA) has been highlighted as a potentially effective solution. However, upon closer analysis, it is evident that the SCA algorithm has notable limitations that hinder its performance. These limitations include slow convergence and susceptibility to falling into local solutions, which ultimately reduce the algorithm's efficacy in mitigating harmonic distortion in MLIs.

Therefore, there is a pressing need to enhance and refine the existing model to overcome these challenges and improve the overall effectiveness of harmonic distortion removal in MLIs.

Objective

The objective is to address the issue of harmonic distortion in Multilevel Inverters (MLIs) by replacing the Salp Swarm Algorithm (SCA) with the Moth Flame Optimization (MFO) algorithm. The aim is to utilize MFO to generate switching pulses for the diodes in the 9-level cascaded H-bridge MLI system, targeting the elimination of specific harmonic orders such as the 5th, 7th, and 11th orders. By doing so, the objective is to improve convergence, avoid local solutions, and enhance the overall effectiveness of harmonic distortion removal in MLIs.

Proposed Work

In order to address the issue of harmonic distortion in multilevel inverters (MLIs), the proposed work aims to replace the existing SCA algorithm with the advanced optimization algorithm called Moth Flame Optimization (MFO). The MFO algorithm is inspired by the navigation methods of moths, enabling it to make optimal decisions regarding switching pulses for the diodes in order to minimize harmonic distortion. By implementing MFO in the 9-level cascaded H-bridge MLI system, the novel approach targets the elimination of specific harmonic orders such as the 5th, 7th, and 11th orders. This is achieved by generating switching pulses based on the navigation principles of moths, which results in improved convergence and avoids falling into local solutions, unlike the SCA algorithm. The proposed approach consists of three levels, each representing an inverter within the system, which generates a three-phase output voltage.

The MFO optimization algorithm is utilized to generate the switching pulses for the 9-level CHB MLI and subsequently produce the overall system output voltage. Through this process, the goal is to effectively reduce harmonic distortion and achieve superior results in terms of harmonic elimination. The performance of the system will be thoroughly analyzed to assess its efficiency and effectiveness in eliminating specific harmonic orders. Ultimately, by utilizing the MFO algorithm in the proposed optimization technique, the aim is to overcome the challenges associated with harmonic distortion in MLIs and improve the overall performance of the system.

Application Area for Industry

This project can be applied in various industrial sectors such as power electronics, renewable energy, and electric vehicles. In the power electronics industry, where multilevel inverters are commonly used, the proposed MFO algorithm can help in eliminating harmonic distortion and selective harmonics, leading to better efficiency and power quality. In the renewable energy sector, the project can assist in improving the conversion efficiency of DC to AC, which is vital for utilizing renewable energy sources effectively. Additionally, in the electric vehicle industry, the optimized switching pulses generated by the MFO algorithm can result in smoother operation and better performance of the electric vehicle drive systems. Overall, the implementation of the MFO algorithm can address the challenges of harmonic distortion, slow convergence, and local solutions, providing industries with improved efficiency, reliability, and performance in their operations.

Application Area for Academics

The proposed project on utilizing the Moth Flame Optimization (MFO) algorithm in Multi Level Inverters (MLIs) to remove harmonic distortion presents a novel approach that can greatly enrich academic research, education, and training in the field of power electronics and optimization techniques. By replacing the existing SCA algorithm with MFO, researchers, MTech students, and PHD scholars can explore a new optimization method inspired by the navigation behavior of moths. This project offers a practical application of MFO in the context of power electronics, specifically in addressing harmonic distortion issues in MLIs. The potential applications of this project extend to innovative research methods, simulations, and data analysis within educational settings. Students and researchers can leverage the code and literature of this project to explore the efficiency and effectiveness of MFO in optimizing the performance of MLIs.

This hands-on experience can enhance their understanding of optimization algorithms and their application in real-world scenarios. Furthermore, the field-specific researchers can use the findings of this project to improve the design and performance of power electronic systems, particularly in the context of voltage regulation and harmonic mitigation. The insights gained from implementing MFO in MLIs can open up new avenues for research and innovation in the field of power electronics. In conclusion, the proposed project has the potential to drive academic research forward by introducing a new optimization approach that addresses the challenges of harmonic distortion in Multi Level Inverters. It offers a practical application of MFO in a relevant research domain and provides a valuable resource for researchers, students, and scholars interested in exploring cutting-edge optimization techniques in power electronics.

Reference for future scope: Potential future research could focus on comparing MFO with other optimization algorithms in the context of harmonic mitigation in power electronic systems. Additionally, exploring the scalability of MFO for larger MLIs and investigating its performance in different operating conditions could provide further insights into its effectiveness and applicability in practical settings.

Algorithms Used

The novel approach utilized in the project involves replacing the SCA algorithm with the MFO algorithm. The MFO algorithm mimics the navigation behavior of moths, enabling it to make optimal decisions about switching pulses for efficient DC to AC conversion in the context of a 9-level cascaded H-bridge (CHB) MLI. By employing the MFO algorithm, the objective is to eliminate harmonic distortion and selectively target harmonics of 5th, 7th, and 11th orders in the MLIs, thus improving the overall system performance. The MFO algorithm's superior convergence capabilities and ability to avoid local solutions make it a preferred choice for this optimization task. The generated switching pulses are then fed into the inverter to produce three-phase outputs at different levels.

The combined output voltage from all three levels is then assessed to determine the system's performance in terms of harmonic distortion reduction.

Keywords

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