Enhanced Krill Herd Optimization Algorithm: Total Harmonic Distortion Minimization

Reddy, Aala Kalananda Vamsi Krishna; Narayana, Komanapalli Venkata Lakshmi

doi:10.1007/978-981-15-8221-9_226

Cited by 5 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods do not depend on the initial value but are very complex computationally; therefore, these methods can be applied only to low-level inverters. In meta-heuristic methods, SHE equations are solved using nature-inspired methods such as genetic algorithm (GA) [17] particle swarm optimization (PSO) [17], [18], LSHADE/EpSin technique (LSHADE) [19], whale optimization technique (WOA) [20], [21], and enhanced krill herd (EKH) [22]. There are certain common problems of algorithms such as PSO and GA; these include convergence to local optimum, early convergence, and either only global solution or only local solution.…”

Section: Introductionmentioning

confidence: 99%

Red deer algorithm-based selective harmonic elimination technique for multilevel inverters

Bektaş,

Karaca,

Taha

et al. 2023

Bulletin EEI

View full text Add to dashboard Cite

This paper proposed a red deer algorithm (RDA)-based selective harmonic elimination (SHE) method for multilevel inverters (MLIs). To eliminate the desired harmonic orders, the optimum switching angles of the MLI have been calculated using the proposed RDA. The calculated switching angles have been applied to the 3-phase cascaded H-bridged 11-level inverter. In addition, the performance of the proposed RDA method was compared with the results of methods such as the Newton-Raphson (NR) method, LSHADE/EpSin technique (LSHADE), whale optimization algorithm (WOA), and particle swarm optimization (PSO) used for the SHE problem in the literature. The results obtained prove that the proposed RDA optimization solves the SHE problems more effectively than other methods. It has also been observed that RDA produces good solutions in different modulation indexes.

show abstract

Section: Introductionmentioning

confidence: 99%

Red deer algorithm-based selective harmonic elimination technique for multilevel inverters

Bektaş,

Karaca,

Taha

et al. 2023

Bulletin EEI

View full text Add to dashboard Cite

show abstract

Dandelion Optimizer and Gold Rush Optimizer Algorithm-Based Optimization of Multilevel Inverters

Saglam,

Bektas,

Karaman

2024

Arab J Sci Eng

View full text Add to dashboard Cite

With the increasing integration of renewable energy sources into distribution and transmission networks, the efficiency of cascade H-bridge multilevel inverters (MLIs) in power control applications has become increasingly significant for sustainable electricity generation. Traditionally, obtaining optimal switching angles of MLIs to minimize total harmonic distortion (THD) requires solving the selective harmonic elimination equations. To this end, this research aims to use two recently developed intelligent optimization algorithms, dandelion optimizer and gold rush optimizer, to solve this problem. To evaluate the effectiveness of the proposed algorithms, an eleven-level cascaded H-bridge MLI (CHB-MLI) was considered in the study. Simulation results for different modulation indices were obtained, and the accuracy and solution quality were compared with genetic algorithm and particle swarm optimization algorithms. MATLAB/Simulink-based models were used to verify numerical computations, ensuring the reliability of the findings. This research contributes to the field by providing insights into obtaining optimal switching angles and minimizing THD in MLIs by applying intelligent optimization algorithms.

show abstract

The Role of Random Walk-Based Techniques in Enhancing Metaheuristic Optimization Algorithms—A Systematic and Comprehensive Review

Nassef,

Abdelkareem,

Maghrabie

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Enhanced Krill Herd Optimization Algorithm: Total Harmonic Distortion Minimization

Cited by 5 publications

References 10 publications

Red deer algorithm-based selective harmonic elimination technique for multilevel inverters

Red deer algorithm-based selective harmonic elimination technique for multilevel inverters

Dandelion Optimizer and Gold Rush Optimizer Algorithm-Based Optimization of Multilevel Inverters

The Role of Random Walk-Based Techniques in Enhancing Metaheuristic Optimization Algorithms—A Systematic and Comprehensive Review

Contact Info

Product

Resources

About