Performance enhancement of shunt active power filter with the application of an adaptive controller

Ray, Pravat Kumar; Swain, Sushree Diptimayee

doi:10.1049/iet-gtd.2020.0334

Cited by 16 publications

(3 citation statements)

References 21 publications

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“…The results of the experts' evaluation are the input data source for decisionmakers in the company to make decisions to invest in SAPF equipment to improve the quality of the power supply that the company is using. Filter function Filters noise and distortion signal components in the power supply's signal source Benefit [14], [22], [64] C7…”

Section: 𝐹𝑅𝑁 𝛿 = 𝐹𝑅𝑁(𝐹𝑅𝑁 𝑅mentioning

confidence: 99%

Enhancing Power Quality in Industry 4.0 Manufacturing Using the Multi-Criteria Selection Method

Duc,

Bilik,

Martinek

2024

IEEE Access

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Industry 4.0 technology is growing rapidly in the manufacturing industry and other businesses. Devices used in Industry 4.0 are manufactured with high frequency switching functions and generate harmonics that negatively affect power quality. Choosing the direct or parallel connection method of the harmonic current absorber depends on the specific requirements of the system and the goal of improving power quality. Shunt Active Power Filter (SAPF) is the best device currently used to improve power quality. This study proposes to use the fuzzy-rough MARCOS method to make decisions on SAPF selection based on experts' opinions to improve the quality of power sources at the source of smart manufacturing plants using Industry 4.0 devices. This study implements two decision-making methods in Multi-Criteria Decision-Making (MCDM). The first is the SWARA method (Stepwise Weight Assessment Ratio Analysis), and the second is the MARCOS method (Measurement Alternatives and Ranking According to Compromise Solution). The fuzzy-rough method is used to incorporate uncertain information into the results of decisionmaking and to use linguistic values. The analysis results of the fuzzy-rough SWARA method show that the price factor and power filter range have the greatest influence on the choice of SAPF for harmonic mitigation. Analysis results from the fuzzy-rough MARCOS method show that manufacturer Schneider Electric has the best features according to the evaluation results from decision makers. Sensitivity analysis methods were used to confirm the findings. The harmonic value THDi displayed in the field after installing the harmonic filter is, respectively, THDi1 = 5%, THDi2 = 6%, and THDi3 = 5%, it meets the regulations of Circular 30/2019/TT-BCT. According to this circular, the requirement for total harmonic value (THDi) is below 12%. With THDi1, THDi2, and THDi3 values all below 12%. In operating electrical systems in production and business environments, using SAPF filters for harmonic mitigation helps improve power quality. The fuzzyrough method is applied, and the decision maker's decisions are used to adjust the intention to use the SAPF set to suit the conditions. INDEX TERMSShunt Active Power Filter, fuzzy-rough MARCOS, Harmonic Mitigation, Power Quality I. INTRODUCTION As Industry 4.0 technology continues to develop, switching devices are also growing exponentially to meet the development of Industry 4.0 technology [1]. Switching devices generate noise signals, called harmonic currents. Harmonic currents arising in the power source cause complex effects and cause the quality of the power source to deteriorate. Devices that use electricity have poor power quality due to harmonic currents, making the device's operation unstable, possibly exploding, and unstable performance [2]. The development of Industry 4.0 technology is not only in the manufacturing industry, but Industry 4.0 technology is developing and penetrating all industries, Electrical equipment in industries that use Industry 4.0 technology is affected by harmo...

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Section: 𝐹𝑅𝑁 𝛿 = 𝐹𝑅𝑁(𝐹𝑅𝑁 𝑅mentioning

confidence: 99%

Enhancing Power Quality in Industry 4.0 Manufacturing Using the Multi-Criteria Selection Method

Duc,

Bilik,

Martinek

2024

IEEE Access

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“…Substituting transfer function of T s , G pi s and K con are given and the values of different parameters mentioned in (12) are given in the Appendix and substituting these values results in…”

Section: Modelling Of Pi Controllermentioning

confidence: 99%

“…These filters are power electronics based devices which are used to eliminate current harmonics, provide reactive power compensation and balance supply currents under unbalanced load currents by injecting requisite currents. The performance of active filter depends largely on the control algorithm employed [12]. The control algorithms for SAPF affect steady state, dynamic performance and rating of filter.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of Levenberg–Marquardt‐based adaptive SOGI

Pandey

Singh

2020

IET gener. transm. distrib.

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This study presents the design and analysis of an adaptive second-order generalised integrator (SOGI) technique for controlling voltage source inverter in a three-phase three-wire distribution system. The function of the proposed shunt active power filter involves compensation of reactive power for power factor correction, harmonic elimination, load balancing, voltage regulation under non-linear load condition. In this study, an effective approach for load compensation is proposed by designing an adaptive SOGI trained using Levenberg-Marquardt technique and compared with conventional techniques which ensure smooth operation under normal and distorted grid condition. An experimental setup is developed and its performance is analysed during different loading conditions. The experimental results are in line with the expected simulation results. Experimental and simulation results are verified and analysed using Bode plot.

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A solar photovoltaic‐fed three‐phase multifunctional converter operation using nonlinear control strategy

Kumar Majji,

Prakash Mishra,

Chiranjeevi

2024

Circuit Theory & Apps

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SummaryA nonlinear control strategy for a solar photovoltaic (SPV) integrated three‐phase multifunctional converter (3PMFC) is proposed in this study. The proposed control approach integrates a Lyapunov function controller (LFC) for the voltage control loop and a model predictive controller (MPC) for the current tracking control loop. The required 3PMFC reference currents are calculated using a variable conductance factor (VCF) technique. The key highlights of the proposed control strategy are as follows: (1) LFC with only one control gain provides less steady‐state error than the proportional integrator (PI) with two control gains, (2) MPC generates the optimal switching signals for the associated converters in the system without using modulation stages, and (3) The VCF approach simplifies the mathematical formulation to derive the required reference current. The effectiveness of the proposed control technique was evaluated using different solar irradiation, DC loads, and AC loads (linear balanced, linear unbalanced, and nonlinear loads). The performance of the proposed control technique has been evaluated and validated in a dynamic operation scenario utilizing MATLAB/Simulink and a real‐time simulator (OPAL‐RT OP4510). The simulation results demonstrate that the proposed control approach outperforms the conventional control strategy in terms of grid current total harmonic distortion (THD) improvement, which is in accordance with the IEEE‐519 standard. The performance evaluated through simulation studies indicates that the 3PMFC can perfectly perform all of its grid‐supported multifunctional services, such as current harmonic compensation, reactive power support, and source current balance, along with injecting active power generated by the SPV into the utility system.

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Performance enhancement of shunt active power filter with the application of an adaptive controller

Cited by 16 publications

References 21 publications

Enhancing Power Quality in Industry 4.0 Manufacturing Using the Multi-Criteria Selection Method

Enhancing Power Quality in Industry 4.0 Manufacturing Using the Multi-Criteria Selection Method

Design and analysis of Levenberg–Marquardt‐based adaptive SOGI

A solar photovoltaic‐fed three‐phase multifunctional converter operation using nonlinear control strategy

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