An improved modulation method for modular multilevel converters based on particle swarm optimization

Qin, Xinxiao; Hu, Weihao; Tang, Yongliang; Hu, Qi; Chen, Zhe; Blaabjerg, Frede

doi:10.1016/j.ijepes.2023.109136

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…Extensive research has been conducted in the literature regarding the fine-tuning of parameters for controllers in power electronic converter systems. This research has often employed metaheuristic algorithms, including particle swarm optimization (PSO) (Guarnizo et al, 2023; Qin et al, 2023; Veerachary and Saxena, 2015), Harris hawks optimization (HHO) (Ekinci et al, 2019a; Jafari and Byun, 2023; Munagala and Jatoth, 2023), hybrid whale optimization with simulated annealing (WOASA) (Hekimoğlu and Ekinci, 2020; Shen et al, 2023), hunger games search (HGS) algorithm (Ekinci et al, 2023; Izci et al, 2022c), Lévy flight distribution (LFD) (He et al, 2023; Izci et al, 2022a, 2022b) and artificial ecosystem-based optimization (AEO) (Al-Shourbaji et al, 2023; Izci et al, 2022d). PSO stands out for its ease of implementation and minimal computational resource requirements, as it consumes low CPU and memory resources.…”

Section: Introductionmentioning

confidence: 99%

A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter

Ersali,

Hekimoğlu

2024

Transactions of the Institute of Measurement and Control

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This paper introduces a novel metaheuristic algorithm named the opposition-based cooperation search algorithm with Nelder–Mead (OCSANM). This enhanced algorithm builds upon the cooperation search algorithm (CSA) by incorporating opposition-based learning (OBL) and the Nelder–Mead simplex search method. The primary application of this algorithm is the design of a fractional-order proportional–integral–derivative (FOPID) controller for a buck converter system. A comprehensive evaluation is conducted using statistical boxplot analysis, nonparametric statistical tests and convergence response comparisons to assess the algorithm’s performance and confirm its superiority over CSA. Furthermore, the FOPID-controlled buck converter system based on OCSANM is compared with two top-performing algorithms: one using a hybridized approach of Lévy flight distribution with simulated annealing (LFDSA) and the other employing the improved hunger games search (IHGS) algorithm. This comparison encompasses transient and frequency responses, performance indices and robustness analysis. The results reveal the notable advantages of the proposed OCSANM-based system, including 25.8% and 8.7% faster rise times, 26% and 8.8% faster settling times compared with the best-performing approaches, namely LFDSA and IHGS, respectively. In addition, the OCSANM-based system exhibits a 34.7% and 9.6% wider bandwidth than the existing approaches-based systems. Incorporating voltage and current responses of the buck converter’s switched circuit with the OCSANM-based FOPID controller further underscores the algorithm’s effectiveness. To provide a comprehensive assessment, the paper also compares the proposed approach’s time and frequency domain responses with those of 17 other state-of-the-art approaches attempting to control buck converter systems similarly. These findings affirm the effectiveness of the OCSANM in designing FOPID controllers for buck converter systems.

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Section: Introductionmentioning

confidence: 99%

A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter

Ersali,

Hekimoğlu

2024

Transactions of the Institute of Measurement and Control

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“…Xinxiao Qin, et al in 22 presented a PSO algorithm with a modulation method to obtain improved SHE-PWM switching angles. The switching angles are optimized to reduce the THD and the output voltage error.…”

Section: Introductionmentioning

confidence: 99%

A grey wolf optimization-based modified SPWM control scheme for a three-phase half bridge cascaded multilevel inverter

Nasser,

Refky,

Shatla

et al. 2024

Sci Rep

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The Multilevel inverter (MLI) plays a pivotal role in Renewable Energy (RE) systems by offering a cost-effective and highly efficient solution for converting DC from Photovoltaic (PV) sources into AC at high voltages. In addition, an innovative technology holds immense significance as it not only enables the seamless integration of PV systems into the grid but also ensures optimal power generation, thereby contributing to the widespread adoption of RE and fostering a sustainable future. This paper presents a modified sinusoidal pulse width modulation (SPWM) control scheme for a three-phase half-bridge cascaded MLI-powered PV sources. The selection of the MLI configuration is motivated by its reduced number of switching components, which enhances system reliability and simplifies experimental implementation. Compared to the SPWM schemes which require (m−1) carriers that make the generation of the pulse circuit very complex, the proposed control scheme requires only three signals: a carrier signal, a triangular waveform, and a modulating signal. This approach significantly reduces the complexity of control and facilitates practical implementation. The proposed control scheme simulation is verified using MATLAB/SIMULINK Software. The grey wolf optimization (GWO) algorithm is implemented to determine the optimal switching angles of the proposed control scheme. The Total Harmonic Distortion (THD) objective is selected to be the fitness function to be minimized for improving the quality of the output waveforms. For verification, the results of the proposed GWO-based modified SPWM control scheme are compared with those obtained using both the Particle swarm Optimization (PSO) and Genetic algorithm (GA) used in the literature. Simulation results declared that the proposed control scheme improves performance, especially THD which is minimized to 6.8%. Experimental validation has been conducted by building a laboratory prototype of the proposed system. The experimental and simulation results gave acceptable and limited convergent results considering the experimental difficulties.

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“…Due to their advantageous features: Producing an output voltage with a waveform that closely resembles a pure sine wave, with low switching frequencies (Atar et al, 2023;Pu et al, 2023). Since R. Marquardt developed the modular multilevel converter (MMC) in 2003 (Imane et al, 2023;Qin et al, 2023). MMCs have emerged as a favorable technology for grid-connected PV applications owing to it is high efficiency, reliability, modularity, and scalability (Li et al, 2024;Xiao et al, 2023).Their unique topology makes them well-suited for efficiently converting DC power from PV arrays into high-quality AC power to the grid (Hafez et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Robust line voltage sensor-less control of grid-connected MMC converter in PV Applications

Alia,

Merzouk,

Rezaoui

2024

SEES

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This paper discusses the voltage sensor-less control of a single-phase grid-connected Modular Multilevel Converter (MMC) in photovoltaic (PV) applications. The design of the control system is crucial to efficiently injecting PV power into the main grid. Therefore, three control targets are designed. Maximum power point tracking (MPPT) through the Incremental Conductance (IC) algorithm, DC link voltage regulation, and finally output active and reactive power controlling throughout the regulation of grid current amplitude and phase shift. To achieve those targets, the value of grid voltage has to be known accurately. The main contribution of this study is the use of a Simplified Super Twisting Algorithm Sliding Mode Observer (SSTA-SMO) for grid voltage estimation. The effectiveness and satisfactory performance of the proposed system are validated through simulations via MATLAB. To verify the effectiveness of the proposed approach. A study was conducted to evaluate the efficacy of the SSTA-SMO proposal in comparison to a traditional sliding-mode observer. The objective was to showcase the superiority of the proposed approach. The results suggest that the suggested observer surpasses other methods in terms of several aspects, including minimal errors in grid voltage observation, high-quality estimation of grid voltage, and accurate tracking of the reference. Furthermore, it exhibits robustness when exposed to different levels of radiation.

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An improved modulation method for modular multilevel converters based on particle swarm optimization

Cited by 10 publications

References 30 publications

A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter

A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter

A grey wolf optimization-based modified SPWM control scheme for a three-phase half bridge cascaded multilevel inverter

Robust line voltage sensor-less control of grid-connected MMC converter in PV Applications

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