Mitigation of Harmonic Distortion in Microgrid System Using Adaptive Neural Learning Algorithm Based Shunt Active Power Filter

Senthilkumar, A.; K, Poongothai; Selvakumar, S.; Silambarasan, M.; Raj, P. Ajay-D-Vimal

doi:10.1016/j.protcy.2015.10.082

Cited by 17 publications

(5 citation statements)

References 14 publications

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“…We validate the effectiveness of the suggested technique and compare several pulse generation schemes using the Matlab/Simulink platform. A control approach utilizing an active power filter is presented to address the power quality issue caused by the integration of renewable sources, as discussed in [48]. In this study, the inverter transfers the electricity from the renewable energy source to the electrical grid.…”

Section: B Alternative Techniques and Contingency Plansmentioning

confidence: 99%

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

abu-elwfa,

Abdelsattar Mohamed,

M. Aly

2024

International Journal for Holistic Research

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Section: B Alternative Techniques and Contingency Plansmentioning

confidence: 99%

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

abu-elwfa,

Abdelsattar Mohamed,

M. Aly

2024

International Journal for Holistic Research

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“…Additionally, methods have been implemented for estimating the positive sequence phase angle based on the Discrete Fourier Transform [153] where the transient response of a single cycle that is immune to harmonics, electromagnetic noise, unbalance voltage, and frequency variations in microgrid applications. The implementation of "shunt" type active power filters is another way to improve the power quality of a microgrid at distribution level using intelligent learning algorithms [154]. Another way to counteract power quality problems due to the RES incorporation is through active power filter control methods where the inverter injects the power generated by the renewable source into the main grid (it works as an active power filter and injects power into the main grid).…”

Section: Mitigation Techniquesmentioning

confidence: 99%

Electric Power Conversion and Micro-Grids

2022

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in January 2016. During his research, he gained new experiences about problems relating to high penetration levels of distributed generations and toward having 100% renewable energy in Germany, and as a result, he was awarded a fellowship program for an experienced researcher from the Alexander von Humboldt (AvH) Foundation in 2017. Currently, he is at the Cologne University of Applied Science and is involved in research on the control and dynamic investigation of interconnected micro-grids. He has published more than 120 journals and conference papers, five books, and supervised more than ten research projects. Dr. Mahdi Mansouri was born in Yazd, Iran in 1975. He received both his B.S. degree in electronic engineering and MSc degree in electronic power from the Sharif University of Technology at Power Electronics-STATCOM and his Ph.D. degree in renewable energy systems from doubly fed induction generator (DFIG)based wind turbines from the Shiraz University of Technology.He has 20 years of experience in high-voltage transmission substations and lines as a technical engineer, a consultant, and an executive project manager. His research interests include flexible alternating current transmission system devices, power quality, and power system protection. He currently conducts power electronics, power-relay protection, and power-quality projects as a consultant and project manager.

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“…The power converter and control unit comprise by harmonic filter. [26][27][28][29] Based on measured load dynamics, the injection of harmonic of filter into the AC network is controlled by harmonic filter. By utilizing the device, in the voltage and current the harmonics are sensed and the offsetting harmonics are generated by canceling the superfluous harmonics present in the source.…”

Section: Schematic Circuit and Working Principle Of Proposed Msalcmentioning

confidence: 99%

“…The illustration about the SALC is as follows. The power converter and control unit comprise by harmonic filter 26‐29 . Based on measured load dynamics, the injection of harmonic of filter into the AC network is controlled by harmonic filter.…”

Section: Schematic Circuit and Working Principle Of Proposed Msalcmentioning

confidence: 99%

Integration of CFA ² FB control scheme with modified shunt active line conditioner ( MSALC ) connected distribution system for mitigation of harmonics

Gopalakrishnan

Mohanty²

2020

Int Trans Electr Energ Syst

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Objective: The main objective of the proposed control scheme is the elimination of harmonics present in the output with minimum injection. Methods: The proposed hybrid control scheme is the fusion of both the Cuttlefish Algorithm (CFA) and Artificial Feeding Birds (AFB). Results: The proposed method is implemented in Matlab Simulink working platform. The results are carried out with different case studies and the performances of proposed technique are compared with various existing techniques. In this dissertation, the obtained harmonic current ratio factor (HCRF) for the proposed technique is 7.3432%. Conclusions: The results are carried out with different case studies and the performances of proposed technique are compared with various existing techniques. From the result outcomes, it is proved that the proposed technique stands to be remarkable with high accuracy, high response, and minimum total harmonic distortion (THD) for source and load current. It responds excellently under all the load conditions. K E Y W O R D S control signal, harmonic current ratio factor, harmonics, modified shunt active line conditioner, power loss, total harmonic distortion List of symbols and abbreviations: V sa , V sb , V sc , source voltages; V m , source voltage peak value; I * sm , source current of peak value; P Avg , average power; I * smp , I * smd , components of source current; V DC,error , error in the DC link voltage; V DC,ref , DC link voltage of desired reference; V DC , average DC connection voltage; K p , K i , PI controller proportional and integral gain; I * smd , PI controller output; AFB, artificial feeding birds; ANN, artificial neural network; ALC, active line conditioner; ANFIS, adaptive neuro-fuzzy information system; APF, active power filter; AUPF, average unit power factor theory;

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Mitigation of Harmonic Distortion in Microgrid System Using Adaptive Neural Learning Algorithm Based Shunt Active Power Filter

Cited by 17 publications

References 14 publications

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

Electric Power Conversion and Micro-Grids

Integration of CFA ² FB control scheme with modified shunt active line conditioner ( MSALC ) connected distribution system for mitigation of harmonics

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Mitigation of Harmonic Distortion in Microgrid System Using Adaptive Neural Learning Algorithm Based Shunt Active Power Filter

Cited by 17 publications

References 14 publications

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

A Review of Power Quality and Standards, Issues, Corresponding Mitigation Techniques in Microgrids

Electric Power Conversion and Micro-Grids

Integration of CFA 2 FB control scheme with modified shunt active line conditioner ( MSALC ) connected distribution system for mitigation of harmonics

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Integration of CFA ² FB control scheme with modified shunt active line conditioner ( MSALC ) connected distribution system for mitigation of harmonics