Multiband SHEPWM Control Technology Based on Walsh Functions

Song, Li; Song, Guizhi; Ye, Manyuan; Ren, Wei; Wei, Qiwen

doi:10.3390/electronics9061000

Cited by 7 publications

(10 citation statements)

References 9 publications

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“…In order to reduce the harmonics content and to obtain the preferable switching angles for reduced MLI, the modifed BWO algorithm is presented. Te presented MLI is operated under fundamental frequency in order to reduce the switching loss which reduces the requirement of heat sink and makes the system cost efective as per [40]. Te developed design for a three-phase reduced MLI is shown in Figure 1.…”

Section: Proposed Schemementioning

confidence: 99%

THD Reduction of Improved Single Source MLI Using Upgraded Black Widow Optimization Algorithm

Mohanty,

Chatterjee,

Mohanty

et al. 2023

International Transactions on Electrical Energy Systems

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An upgraded Black Widow Optimization algorithm for obtaining the ideal switching angles of a reduced structure multilevel inverter is proposed in this paper with minimum voltage THD. The conventional BWO algorithm has been modified and proposed to solve the THD minimization problem with faster convergence rate, lesser tuning variables, and lesser number of equations than the other existing nature inspired algorithms. The reduced structure MLI is designed with three asymmetrical DC voltage sources of ratio 1 : 2 : 4 to generate 15-level output voltage which requires reduced number of switching devices in comparison with the existing topologies of equivalent voltage level. The asymmetrical DC voltage sources to the MLI are derived from a single DC voltage source using a multisecondary winding DC-DC converter in order to provide the isolation between the load side and source side. The proposed modified BWO algorithm reduces the complexity of solving the nonlinear equations to achieve the best result by avoiding the local optima. To verify the effectiveness of the upgraded BWO algorithm, the optimization problem for three phase fifteen level MLI has been solved using the genetic algorithm, BFO algorithm, and PSO algorithm. The results for the above three applied algorithms are compared with the upgraded BWO and presented. The proposed algorithm has minimized the output voltage THD to 1.83% at 0.88 modulation index. The developed scheme has been corroborated with the help of MATLAB simulation and the results have been verified through a hardware model developed in laboratory.

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Section: Proposed Schemementioning

confidence: 99%

THD Reduction of Improved Single Source MLI Using Upgraded Black Widow Optimization Algorithm

Mohanty,

Chatterjee,

Mohanty

et al. 2023

International Transactions on Electrical Energy Systems

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“…One of the major concerns is the analytical solution for determining the optimum switching angles [3], [4]. In literature, numerous techniques have been proposed such as; Newton-Raphson iterative approach [5]- [7], resultant theory-based approach [8], current reference-based approach [9], Walsh functions [10], gradient method [11], and meta heuristic optimization techniques [12]. In the Newton-Raphson (NR) approach, initial values need to be set.…”

Section: A Related Workmentioning

confidence: 99%

“…In addition, the optimization performance of NR is very sluggish, and it cannot produce wide range of solutions specially for lower-level MLIs [5]. Walsh functions for the SHEPWM was proposed in [10] to determine the optimum switching angles. It utilizes Walsh transformation matrix to convert transcendental equations into linear equations.…”

Section: A Related Workmentioning

confidence: 99%

Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters

et al. 2021

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Selective harmonic elimination (SHE) technique is used in power inverters to eliminate specific lower-order harmonics by determining optimum switching angles that are used to generate Pulse Width Modulation (PWM) signals for multilevel inverter (MLI) switches. Various optimization algorithms have been developed to determine the optimum switching angles. However, these techniques are still trapped in local optima. This study proposes an opposition-based quantum bat algorithm (OQBA) to determine these optimum switching angles. This algorithm is formulated by utilizing habitual characteristics of bats. It has advanced learning ability that can effectively remove lower-order harmonics from the output voltage of MLI. It can eventually increase the quality of the output voltage along with the efficiency of the MLI. The performance of the algorithm is evaluated with three different case studies involving 7, 11, and 17-level three-phase MLIs. The results are verified using both simulation and experimental studies. The results showed substantial improvement and superiority compared to other available algorithms both in terms of the harmonics reduction of harmonics and finding the correct solutions.

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“…Methods such as the polynomial synthesis method, power method, Walsh function, and homotopic algorithm can also be exploited for solving SHE equations. Their dependence on initial conditions and computational complexity are the major drawbacks of the methods [8][9][10][11]. To overcome these problems, many metaheuristic methods, in which natural processes are imitated, have been used in recent years.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Recent Metaheuristics Based Selective Harmonic Elimination Problem for Different Levels of Multilevel Inverters

2023

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Multilevel inverters (MLI) are popular in high-power applications. MLIs are generally configured to have switches reduced by switching techniques that eliminate low-order harmonics. The selective harmonic elimination (SHE) method, which significantly reduces the number of switching, determines the optimal switching moments to obtain the desired output voltage and eliminates the desired harmonic components. To solve the SHE problem, classical methods are primarily employed. The disadvantages of such methods are the high probability of trapping in locally optimal solutions and their dependence on initial controlling parameters. One solution to overcome this problem is the use of metaheuristic algorithms. In this study, firstly, 22 metaheuristic algorithms with different sources of inspiration were used to solve the SHE problem at different levels of MLIs, and their performances were extensively analyzed. To reveal the method that offers the best solution, these algorithms were first applied to an 11-level MLI circuit, and six methods were determined as a result of the performance analysis. As a result of the evaluation, the outstanding methods were SPBO, BMO, GA, GWO, MFO, and SPSA. As a result of the application of superior methods to 7-, 11-, 15-, and 19-level MLIs according to the IEEE 519—2014 standard, it has been shown that BMO outperforms in 7-level MLI, GA in 11-level MLI, and SPBO in 15- and 19-level MLIs in terms of THD, while in terms of output voltage quality, GA in 7-level MLI, BMO in 11-level MLI, GA and SPSA in 15-level MLI, and SPSA in 19-level MLI come forward.

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Multiband SHEPWM Control Technology Based on Walsh Functions

Cited by 7 publications

References 9 publications

THD Reduction of Improved Single Source MLI Using Upgraded Black Widow Optimization Algorithm

THD Reduction of Improved Single Source MLI Using Upgraded Black Widow Optimization Algorithm

Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters

Investigation of Recent Metaheuristics Based Selective Harmonic Elimination Problem for Different Levels of Multilevel Inverters

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