A review on mitigation technologies of low frequency current ripple injected into fuel cell and a case study

Zhan, Yuedong; Guo, Youguang; Zhu, Jun; Li, Li; Yang, Biao; Liang, Bo

doi:10.1016/j.ijhydene.2020.06.204

Cited by 9 publications

(4 citation statements)

References 75 publications

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“…The study empirically explores the role of the host country's IEEE 519 [1] power quality regulation on harmonic mitigation activities in power systems to improve the quality of power supply and protect electrical equipment from explosions [2], [3]. Previous studies used traditional econometric models and measured the impact of IEEE 519 regulation on power quality assurance.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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The world today is increasingly dependent directly or indirectly on the power system. Ensuring the quality of power supplied to electrical equipment is essential. The national regulatory framework is for harmonic mitigation in the global power system. This paper discusses the relationship between Efficiency (E), Security (S), and Reliability (R) for Electric Power Quality (EPQ). We measure the harmonic mitigation regulations listed in the IEEE 519 standard. To evaluate the proposed E, S, and R constructs and their relationship to EPQ, a multi-planning approach the method of Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Deep Learning Artificial Neural Network (ANN) analysis were performed. In it, deep Learning Artificial Neural Network (ANN) was performed to complement the PLS-SEM findings and higher prediction accuracy. The study shows that the aspects of efficiency (E), security (S), and reliability (R) have a significant relationship with Electric Power Quality (EPQ). Another result of the study indicates that science, technology, engineering and math (STEM) resource conditions have a significant and positive impact on EPQ.

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Section: Introductionmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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“…Since the control strategies of low current ripple play a significant role in the reliability and durability of the power generation system [13], many scholars have proposed some mitigation methods of low-current ripples [14][15][16][17][18]. However, the frequency of the ripple is too low, and the passive filter has weak suppression of the inherent ripple [19].…”

Section: Introductionmentioning

confidence: 99%

Power Decoupling Control for Single-Phase Grid-Tied PEMFC Systems With Virtual-Vector-Based MPC

Wang

Liu

et al. 2021

IEEE Access

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The fuel cell grid-tied power generation system usually includes a dc-dc converter and a dc-ac inverter. In a singlephase system, inherent low-order current pulsations are introduced into the system, which can have harmful effects on the fuel cell stack. For example, reducing the output voltage and output efficiency, a reduction in service life, and even accelerates the degradation rate of the membrane electrode of a proton exchange membrane fuel cell (PEMFC). In addition, dc/ac coupling power can cause distortion in the dc input current and ac grid current. To eliminate the input ripple and ensure high ac power quality on the grid side, this paper proposes a novel power decoupling control for single-phase grid-tied PEMFC systems, which uses an improved model predictive control (MPC) algorithm. With the help of the virtual vector methods, which are realized by a twostage optimization method, excellent tracking effect and robustness can be ensured. Simulations and experimental results show that the proposed algorithm can not only completely eliminate the input current ripple and reduce the total harmonic distortion (THD) of ac current on the grid side, but also improve the transient performance of the system.INDEX TERMS fuel cell, low frequency current ripple, model predictive control, ripple elimination.

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“…In parallel PV‐side methods, the power decoupling circuit is responsible for the energy sweep between the dc link and an additional bidirectional converter 43 . These topologies and related control methods were overviewed in recently published review papers 19,44–46 . For example, the authors in literature 34 successfully eliminated the electrolytic capacitor by a buck–boost bidirectional circuit.…”

Section: Introductionmentioning

confidence: 99%

An active parallel power decoupling circuit with a dual loop control scheme for micro‐inverters

Rezaei

Akhbari

2021

Circuit Theory & Apps

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An important challenge in single‐stage single‐phase micro‐inverters is reducing required capacitance by various active power decoupling (APD) techniques in order to use film capacitors with a longer lifetime instead of electrolytic capacitors. In this paper, a photovoltaic (PV)‐side parallel APD circuit based on a bidirectional flyback converter is proposed. This topology is able to increase the average and ripple voltages for the capacitor due to having a transformer and thus can reduce the required capacitance. In the control scheme, dual control loops on the main and decoupling circuits manage the micro‐inverter operation. The primary control loop is based on the instantaneous active and reactive power theory and a proportional resonant (PR) controller that is responsible for delivering the PV panel energy to the grid. The secondary control loop regulates the pulsation power on the dc‐link capacitor through the PR controller. Simulation results demonstrated that the proposed APD circuit and the control method could properly damp the pulsation power in the normal and reference tracking operations. Furthermore, the good robustness of the micro‐inverter was confirmed in shutdown and start‐up. Finally, the experimental results with a 180‐W single‐phase micro‐inverter prototype are presented, which validates the advantages of the proposed configuration.

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A review on mitigation technologies of low frequency current ripple injected into fuel cell and a case study

Cited by 9 publications

References 75 publications

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Power Decoupling Control for Single-Phase Grid-Tied PEMFC Systems With Virtual-Vector-Based MPC

An active parallel power decoupling circuit with a dual loop control scheme for micro‐inverters

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