Enhanced Metaheuristic Methods for Selective Harmonic Elimination Technique

Etesami, M. H.; Vilathgamuwa, D.M.; Ghasemi, Negareh; Jovanović, Dragoljub

doi:10.1109/tii.2018.2799602

Cited by 43 publications

(26 citation statements)

References 35 publications

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“…SHE has been successfully implemented in several high-power applications for decades where the required dynamic response is slow [15][16][17]. Currently, there is a trend of proposing an SHE implementation based on iterative methods, numerical approaches, artificial neural networks, or meta-heuristic algorithms, among others [18][19][20][21].…”

Section: Selective Harmonic Elimination Methodsmentioning

confidence: 99%

“…Both methods entail a huge computational burden that makes their real-time implementation difficult because of their non-linearity nature. In this way, it is usual to apply evolutionary algorithms such as simulated annealing, Particle Swarm Optimization (PSO), and others [19,27]. For SHE or SHM, algorithms such as simulated annealing have been already applied.…”

Section: Computational Problem Statementmentioning

confidence: 99%

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Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm

et al. 2020

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Hand-in-hand with the smart-grid paradigm development, power converters used in high-power applications are facing important challenges related to efficiency and power quality. To overcome these issues, the pre-programmed Pulse-Width Modulation (PWM) methods have been extensively applied to reduce the harmonic distortion with very low power switching losses for high-power converters. Among the pre-programmed PWM techniques, Selective Harmonic Elimination (SHE) has been the prevailing solution, but recently, Selective Harmonic Mitigation (SHM) stands as a superior alternative to provide further control of the harmonic spectrum with similar losses. However, the large computational burden required by the SHM method to find a solution confines it as an off-line application, where the switching set valid solutions are pre-computed and stored in a memory. In this paper, for the first time, a real-time implementation of SHM using an off-the-shelf mid-range microcontroller is presented and tested. The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. The performance of the EMA-based SHM is presented showing experimental results considering a reduced number of switching angles applied to a specific three-level converter, but the method can be extrapolated to any other three-level converter topology.

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Section: Selective Harmonic Elimination Methodsmentioning

confidence: 99%

Section: Computational Problem Statementmentioning

confidence: 99%

Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm

et al. 2020

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“…Different from previous settings, we allow higher deviation on the magnitude of the fundamental harmonic. The reason is that in various engineering applications, higher waveform quality of the output signal may be achieved with some extent of sacrifices on the precision in terms of the magnitude of the fundamental harmonic [20]. In this regard, a penalty is activated when the deviation on the magnitude of the fundamental harmonic is higher than 10%, which is expressed in the first term of (7a).…”

Section: Formulation Of (2n +1) She-pwmmentioning

confidence: 99%

“…There are also several papers that provided some comparative studies among different meta-heuristic algorithms on SHE-PWM. For example, Etesami et al [20] compared the imperialist competitive algorithm (ICA) with PSO on solving the SHE-PWM and the modified SHE-PWM problem. Memon et al [21] compared several bio-inspired meta-heuristic algorithms such as GA, PSO, and DE on SHE-PWM problem for renewable energy conversion applications.…”

Section: Introductionmentioning

confidence: 99%

Offline Selective Harmonic Elimination With (2N+1) Output Voltage Levels in Modular Multilevel Converter Using a Differential Harmony Search Algorithm

Xin

Zhang

et al. 2020

IEEE Access

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2N +1) selective harmonic elimination pulse-width modulation (SHE-PWM) is an effective switching strategy of the modular multilevel converter in medium-voltage cases. In these cases, the number of sub-modules (SMs) is not high. Compared to the traditional (N +1) SHE-PWM, (2N +1) SHE-PWM has N more voltage levels, thus it can yield much better harmonic performance. However, the task of selective harmonic elimination also becomes much more complicated since there are more switching angles to be determined. This paper proposes a differential harmony search algorithm (DHS) with a novel harmony improvisation procedure for solving this problem. The Bayesian optimization method is applied to find the optimal parameter configuration for DHS. The performance of DHS is compared with 6 other metaheuristic algorithms including differential evolution (DE), harmony search (HS), genetic algorithm (GA), particle swarm optimization (PSO), teaching and learning-based optimization (TLBO), and ant colony optimization (ACO). The comparison is conducted on a set of 100 (2N +1) SHE-PWM instances by varying the modulation index from 0.01 to 1.0 with a step of 0.01. The numerical results show that the proposed DHS outperforms other compared methods in terms of objective function values, algorithm robustness, the magnitude of fundamental harmonic, and the calculated total harmonic distortion values. The switching angles obtained by DHS are further validated by both Matlab/Simulink simulation and hardware experiment.

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“…The nearest level modulation (NLM) [16, 17] has less switching loss but it will bring low‐order harmonics. The selective harmonic elimination PWM [18, 19] has excellent harmonic performance and less switching loss but it requires much computation. Besides, the real‐time ability is poor.…”

Section: Introductionmentioning

confidence: 99%

CRC and NHPWM method for test bench based on cascaded converter

Yang

Shao

et al. 2019

IET Power Electronics

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This study describes a megawatt test bench based on the cascaded converter for the stability test of renewable energy generation system under different grid disturbances. The test bench is composed of two cascaded converters, which are used to control the output of fundamental voltage and harmonic voltage. Aiming at the defects of the traditional repetitive controller (RC) and hybrid pulse-width modulation (HPWM) method, configurable RC (CRC) and novel HPWM (NHPWM) method are presented. By flexibly configuring the zeros and poles of CRC, the harmonic order that can be tracked accurately and the time delay of CRC can be easily changed. Besides, with NHPWM, the number of modules modulated by carrier phaseshifted PWM can be arbitrarily configured according to the output voltage quality and switching loss. Therefore, the flexible CRC and NHPWM are beneficial to achieve high control accuracy of fundamental and harmonic voltage and fast dynamic response while considering the switching loss, which is verified by simulation. The detailed harmonic analysis and calculation method of NHPWM are given, which are also proved correct by comparison of theoretical calculation and simulation results.

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Enhanced Metaheuristic Methods for Selective Harmonic Elimination Technique

Cited by 43 publications

References 35 publications

Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm

Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm

Offline Selective Harmonic Elimination With (2N+1) Output Voltage Levels in Modular Multilevel Converter Using a Differential Harmony Search Algorithm

CRC and NHPWM method for test bench based on cascaded converter

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