Experimental validation of advanced SP-SAF based on intelligent controllers for power quality enhancement

Aissa, Oualid; Gherouat, Oussama; Babes, Badreddine; Albalawi, Fahad; Alqurashi, Amru; Ghoneim, Sherif S. M.

doi:10.1016/j.egyr.2022.02.067

Cited by 7 publications

(1 citation statement)

References 20 publications

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“…Tese loads may raise harmonics of voltages and currents, in an electrical distribution system, to unacceptable level [3]. Several studies have emerged and certain solutions have been adopted to get rid of those harmonic distortions [4,5].…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Bey

Krim

Gherouat

2023

International Transactions on Electrical Energy Systems

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This paper presents a discrete-time synergetic controller (DTSC) enhanced with ant colony optimization (ACO) technique for a shunt active power filter (SAPF). The developed controller is designed under MATLAB/Simulink environment; then, field-programmable gate array (FPGA) in the loop (FIL) technique is used to implement the DTSC model. The proposed DTSC parameters are optimally tuned according to ACO methodology. The DTSC-ACO should enhance power quality and eliminate grid current harmonics using an indirect current-controlled three-phase SAPF. Note that, the designed FPGA controller integrates the items needed to drive the SAPF. This digital implementation satisfies the hardware and recommended performance. In fact, it reduces significant resources and execution time. The experimental validation is carried out on Virtex-6 ML605 FPGA Xilinx Evaluation Kit using VIVADO processing. A total harmonic distortion (THD = 2.72%) is obtained for the grid current. Thus, the results obtained confirm proper operation of the developed approach. In addition, the proposed DTSC shows good dynamic performance during load step change and output voltage variation.

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Section: Introductionmentioning

confidence: 99%

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Bey

Krim

Gherouat

2023

International Transactions on Electrical Energy Systems

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Identification algorithm for power quality disturbance of inspection robot in converter station during operation

Zhou,

Zhang,

et al. 2024

Adv Control Appl

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As power quality disturbances become increasingly complex, it is imperative that the speed and accuracy of the inspection robot at the converter station be improved. For this purpose, this study designs a power quality disturbance feature extraction method based on the fast‐adaptive S‐transform. This method preserves the main feature information and eliminates redundant calculations on the basis of adaptive transform. On this basis, a power quality disturbance identification model built on a multi label lightweight gradient elevator is constructed. In the experimental results, compared to the generalized S‐transform, adaptive S‐transform, and S‐transform, the total extraction time of the proposed method was reduced by 96.09%, 91.56%, and 91.22%, respectively. The average accuracy of extracting features for a single disturbance was 99.56%, while for complex disturbance, it was 98.24%, both of which outperformed the comparison algorithms. It is verified that the proposed method can improve the extraction accuracy of power quality disturbance signal. In the recognition of a single disturbance signal, the constructed model exhibited a high accuracy of over 99%. In recognizing composite disturbance signals, the model demonstrated high accuracy and strong stability. Its effectiveness has been confirmed through experiments. The paper aims to enhance the speed and accuracy of power quality disturbance recognition algorithms. This will assist inspection robots working in converter stations, and ensure stable and safe operation of the power grid.

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Study and Simulation of SAPF Interconnected to a PV System Based on DPC with Disturbance Rejection Principle

Boudechiche,

Aissa,

Sarra

et al. 2024

Springer Proceedings in Energy

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Experimental validation of advanced SP-SAF based on intelligent controllers for power quality enhancement

Cited by 7 publications

References 20 publications

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter

Identification algorithm for power quality disturbance of inspection robot in converter station during operation

Study and Simulation of SAPF Interconnected to a PV System Based on DPC with Disturbance Rejection Principle

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