A Full-Tuned Filtering Method for Dynamic Tuning Passive Filter Power Electronics

Wang, Yifei; Liu, Huikang; Yin, Kaiyang; Yuan, Youxin

doi:10.1007/s40313-021-00742-9

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…Other recent methods for PPF design have also been explored extensively in [27][28][29][30][31][32]. In [27], a class topper optimization (CTO) was developed.…”

Section: Literature Reviewmentioning

confidence: 99%

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Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Yang

Mehmood

2022

Mathematics

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Harmonic distortion in power systems is a significant problem, and it is thus necessary to mitigate critical harmonics. This study proposes an optimal method for designing passive power filters (PPFs) to suppress these harmonics. The design of a PPF involves multi-objective optimization. A multi-objective bee swarm optimization (MOBSO) with Pareto optimality is implemented, and an external archive is used to store the non-dominated solutions obtained. The minimum Manhattan distance strategy was used to select the most balanced solution in the Pareto solution set. A series of case studies are presented to demonstrate the efficiency and superiority of the proposed method. Therefore, the proposed method has a very promising future not only in filter design but also in solving other multi-objective optimization problems.

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“…Other recent methods for PPF design have also been explored extensively in [27][28][29][30][31][32]. In [27], a class topper optimization (CTO) was developed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, the deployment of the CTO requires careful effort in detuning mechanisms that can hinder an optimal solution. Wang Y. et al achieved good results via the tuning filtering method [28]. However, the same problem emerges as this method requires careful tuning.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Yang

Mehmood

2022

Mathematics

View full text Add to dashboard Cite

show abstract

“…Other methods have been recently employed, and their results were investigated to design PPFs [26][27][28][29][30][31]. Badugu R. et al developed a class topper optimization (CTO) for PPF design [26].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

“…The detuning mechanisms that were employed were complex, which in turn made it difficult to achieve an optimal solution. Wang Y. et al employed a tuning filtering method to achieve good results [27]. However, thorough an examination, tuning was still a limitation for the PPF design.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

2021

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Passive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have developed a new multi-objective optimization method based on an artificial bee colony (ABC) algorithm with a minimum Manhattan distance. Four different types of PPFs, namely, single-tuned, second-order damped, third-order damped, and C-type damped order filters, and their characteristics were considered in this study. A series of case studies have been presented to prove the efficiency and better performance of the proposed method over previous well-known algorithms.

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Multi-resonant Controller Design for a PV-Fed Multifunctional Grid-Connected Inverter in Presence of Unbalanced and Nonlinear Load

Valedsaravi

Aroudi

Barrado-Rodrigo

et al. 2023

J Control Autom Electr Syst

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The use of Active Power Filters (APFs) in future power grids with high penetration of nonlinear loads is unavoidable. Voltage Source Inverters (VSIs) interfacing Photovoltaic (PV) generator could play the APF role in addition to power supply. In this paper, the control of a PV-fed multifunctional grid-connected three-phase VSI is addressed with nonlinear and unbalanced load. The control objective is threefold. The first one is to deliver the maximum available power from the PV source to the grid satisfying power quality standards. The second one is the Voltage Balancing Control for DC-link capacitors to guarantee correct operation of the VSI. The last one is shunt APF control to compensate for nonlinear and unbalanced load harmonics, reactive power, and unbalanced sequences. A quasi-Proportional-Resonant (PR) controller with harmonic compensators is proposed for the current control loop. The quasi-PR controller parameters are determined through optimization algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and a combination of both PSO and GA. The aim of the objective function is to improve static and dynamic behavior. The different gains at the fundamental resonant frequency and the selected odd harmonics are obtained for the proposed quasi-PR controller. The dynamic characteristics of the optimized quasi-PR controllers show superiority against conventional ones in terms of gain margin, phase margin, overshoot, and robustness. With the proposed control scheme, the harmonics, reactive power, and unbalanced sequences are appropriately compensated. The performance of the PV-fed VSI shunt APF under irradiance change, load change, and distorted grid voltage conditions is validated through numerical simulations performed on $$\hbox {PSIM}^{\copyright }$$ PSIM © software. The results show that the grid currents Total Harmonic Distortion for irradiance change case study are $$4.57\%$$ 4.57 % , $$4.57\%$$ 4.57 % , and $$3.22\%$$ 3.22 % in phase a, b, and c with the proposed control method, while they are $$9.25\%$$ 9.25 % , $$5.65\%$$ 5.65 % , and $$10.12\%$$ 10.12 % with conventional instantaneous $$p-q$$ p - q theory.

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A Full-Tuned Filtering Method for Dynamic Tuning Passive Filter Power Electronics

Cited by 4 publications

References 16 publications

Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Multi-resonant Controller Design for a PV-Fed Multifunctional Grid-Connected Inverter in Presence of Unbalanced and Nonlinear Load

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