TY - GEN
T1 - A Microgrid-Based Power Quality Enhancer for Sustainable Energy Using Hybrid Active Power Filter Control
AU - Putra, Novian Patria Uman
AU - Soeprijanto, Adi
AU - Priyadi, Ardyono
AU - Syaiin, Mat
AU - Putra, Dimas Fajar Uman
AU - Rohiem, Nasyith Hananur
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The stability of the system may be impacted by the significant problem of the rise of nonlinear load. Deep neuro Fuzzy logic control is used to solve the difficult problem of controller parameter tuning and to demonstrate the system's stability using Clarke's stability function, and for optimizing sensing harmonic source this study use FFT lag-1 to reduce harmonics source. The research study will concentrate on an enhanced current technique that uses a fuzzy interface in conjunction with an HAPF (Hybrid Active Power Filter) and is applied to combination linear load with non-linear load. Finally, a comparison of two more methods is made the latter approach outperforms the standard active power filter. These other methods include a hybrid filter with Deep Neuro Fuzzy Logic. The same model was simulated in IEEE std-519-1992 under both perfect and distorted supply conditions, and it was found that the latter configuration yielded better results than the former.
AB - The stability of the system may be impacted by the significant problem of the rise of nonlinear load. Deep neuro Fuzzy logic control is used to solve the difficult problem of controller parameter tuning and to demonstrate the system's stability using Clarke's stability function, and for optimizing sensing harmonic source this study use FFT lag-1 to reduce harmonics source. The research study will concentrate on an enhanced current technique that uses a fuzzy interface in conjunction with an HAPF (Hybrid Active Power Filter) and is applied to combination linear load with non-linear load. Finally, a comparison of two more methods is made the latter approach outperforms the standard active power filter. These other methods include a hybrid filter with Deep Neuro Fuzzy Logic. The same model was simulated in IEEE std-519-1992 under both perfect and distorted supply conditions, and it was found that the latter configuration yielded better results than the former.
KW - Deep Neuro Fuzzy Logic
KW - FFT lag-1
KW - HAPF
KW - Harmonic source
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=85186522189&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427564
DO - 10.1109/ICAMIMIA60881.2023.10427564
M3 - Conference contribution
AN - SCOPUS:85186522189
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
SP - 220
EP - 224
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -