Selective harmonics elimination PWM (SHEPWM) using Differential Evolution approach

Salam, Zainal; Bahari, Norhazilina

doi:10.1109/pedes.2010.5712375

Cited by 17 publications

(7 citation statements)

References 18 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%

“…The harmonics in the line voltage of an inductor motor are eliminated using the evolutionary programming algorithm (EPA) as in [216]. Authors in [217,218] have suggested using the differential evolution (DE) algorithm for a 3-phase inverter to enhance the level of output voltage, improve the harmonic profile for rapid convergence and better efficiency.…”

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%

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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“…The fuzzy membership function is a mixture of Gaussian functions which means that the variances and weights are tuned through DE algorithm, as illustrated in Figure 4. DE algorithm is chosen due to its advantages in performance and operation in optimisation problems compared to classical evolution algorithms [32], [54], and previous implementations on Voltage Source Converters (VSC) [55], and multi-agents problems [56]. Only a few studies have been reported that enhance the inertial response in power systems using FLC [57]- [59], and specially, only one uses an optimization technique [60].…”

Section: Differential Evolution and Membership Function Adaptabilitymentioning

confidence: 99%

Synthetic inertia control based on fuzzy adaptive differential evolution

Chamorro

Riano

Gerndt

et al. 2019

International Journal of Electrical Power & Energy Systems

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The transformation of the traditional transmission power systems due to the current rise of non-synchronous generation on it presents new engineering challenges. One of the challenges is the degradation of the inertial response due to the large penetration of high power converters used for the interconnection of renewables energy sources. The addition of a supplementary synthetic inertia control loop can contribute to the improvement of the inertial response. This paper proposes the application of a novel Fuzzy Adaptive Differential Evolution (FADE) algorithm for the tuning of a fuzzy controller for the improvement of the synthetic inertia control in power systems. The method is validated with two test power systems: (i) an aggregated power system and its purpose is to understand the controller-system behavior, and (ii) a two-area test power system where one of the synchronous machine has been replaced by a a full aggregated model of a Wind Turbine Generator (WTG), whereby different limits in the tuning process can be analyzed. Results demonstrate the evolution of the membership functions and the inertial response enhancement in the respective test cases. Moreover, the appropriate tuning of the controller shows that it is possible to substantially reduce the instantaneous frequency deviation.

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“…SHE offers several advantages compared to traditional modulation methods [16] including acceptable performance with low switching frequency to fundamental frequency ratios, direct control over output waveform harmonics, and the ability to leave triplen harmonics uncontrolled to take advantage of circuit topology in three phase systems. These key advantages make SHE a viable alternative to other methods of modulation in applications such as variable speed drives [17][18][19][20][21], or dual-frequency induction heating [22]. This method is sometimes called a programmed PWM technique.…”

Section: Introductionmentioning

confidence: 99%

A hybrid real coded genetic algorithm – Pattern search approach for selective harmonic elimination of PWM AC/AC voltage controller

Al-Othman

Ahmed

AlSharidah

et al. 2013

International Journal of Electrical Power & Energy Systems

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Selective harmonics elimination PWM (SHEPWM) using Differential Evolution approach

Cited by 17 publications

References 18 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

Synthetic inertia control based on fuzzy adaptive differential evolution

A hybrid real coded genetic algorithm – Pattern search approach for selective harmonic elimination of PWM AC/AC voltage controller

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