Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

Memon, Mudasir Ahmed; Siddique, Marif Daula; Mekhilef, Saad; Mubin, Marizan

doi:10.1109/tie.2021.3060645

Cited by 131 publications

(72 citation statements)

References 31 publications

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“…Recently numerous evolutionary algorithms based on SHE techniques for MLI are reported in the literature [207][208][209][210][211][212][213][214][215][216][217][218]. Authors in [185,207] have implemented a genetic algorithm (GA) to minimize low-count switch MLI distortions.…”

Section: Selective Harmonic Eliminationmentioning

confidence: 99%

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Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects

et al. 2021

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In recent years, multilevel inverters (MLIs) have emerged to be the most empowered power transformation technology for numerous operations such as renewable energy resources (RERs), flexible AC transmission systems (FACTS), electric motor drives, etc. MLI has gained popularity in medium- to high-power operations because of numerous merits such as minimum harmonic contents, less dissipation of power from power electronic switches, and less electromagnetic interference (EMI) at the receiving end. The MLI possesses many essential advantages in comparison to a conventional two-level inverter, such as voltage profile enhancement, increased efficiency of the overall system, the capability of high-quality output generation with the reduced switching frequency, decreased total harmonic distortions (THD) without reducing the power of the inverter and use of very low ratings of the device. Although classical MLIs find their use in various vital key areas, newer MLI configurations have an expanding concern to the limited count of power electronic devices, gate drivers, and isolated DC sources. In this review article, an attempt has been made to focus on various aspects of MLIs such as different configurations, modulation techniques, the concept of new reduced switch count MLI topologies, applications regarding interface with renewable energy, motor drives, and FACTS controller. Further, deep insights for future prospective towards hassle-free addition of MLI technology towards more enhanced application for various fields of the power system have also been discussed. This article is believed to be extremely helpful for academics, researchers, and industrialists working in the direction of MLI technology.

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Section: Selective Harmonic Eliminationmentioning

confidence: 99%

“…Authors in [185,207] have implemented a genetic algorithm (GA) to minimize low-count switch MLI distortions. In [208,209], the output voltage regulation and improvement of the harmonic profile are carried out by particle swarm optimization (PSO) technique. Additionally, PSO is used in [210,211] for the control of THD.…”

Section: Selective Harmonic Eliminationmentioning

confidence: 99%

Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects

et al. 2021

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“…Phase displacement PWM (PDPWM), third harmonic injection PWM (THIPWM) contains a modulating wave that is consists of fundamental components and third harmonic components but has the limitation of absence of any particular procedure to calculate the third harmonic component required to be added. 25,26 Selective harmonic elimination PWM (SHPWM) in this method, certain angles are calculated to remove odd harmonics, whereas, with an increasing number of levels, the evaluation of angles becomes difficult. 27,28 Space vector pulse width modulation (SVPWM) is used in low-frequency applications, and it is a highly computation-based technique.…”

Section: Nearest Level Controlmentioning

confidence: 99%

A twice boost nine‐level switched‐capacitor multilevel (2B‐9L‐SCMLI) inverter with self‐voltage balancing capability

Kumari

Siddique

Sarwar

et al. 2021

Circuit Theory & Apps

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The research on the multilevel inverter structures has been focused on reducing the number of voltage sources and the components while obtaining voltage boosting in the output voltage. A lesser number of components would ensure lesser cost while higher boosting ability increases its application potential.Based on these features, the paper presents a new topology for switchedcapacitor multi-level inverter (SCMLI), which can produce an output voltage waveform of nine levels with a voltage boosting of twice the input voltage employing a single dc voltage source, three capacitors, and 11 power switches.

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“…The results are shown in Table 6 and it can be noticed that OQBA has produced less THD than these 3 algorithms for different modulation indices which shows its superiority over these algorithms. A combinational optimization algorithm between conventional PSO and GA is proposed in [40], which is named as Asynchronous Particle Swarm Optimization Genetic Algorithm (APSOGA). The switching angles determined by APSOGA for a 7-level MLI has produced THD of 31.47%, 10.44% and 7.17% at m = 0.3, m = 0.6 and m = 0.8, respectively.…”

Section: Case Study 3: 17-level Chb MLImentioning

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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Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

Cited by 131 publications

References 31 publications

Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects

Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects

A twice boost nine‐level switched‐capacitor multilevel (2B‐9L‐SCMLI) inverter with self‐voltage balancing capability

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

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