Smart Microgrid approach for Distributed power generation of renewable energy
The uncertainties related to renewable Smart Grid and Distribution Network is a common factor remained the underlying for every researcher. The renewable energy system has thousands of source component, and all are also located in different distance. With the time some sources may become ineffi...
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my.iium.irep.910612021-11-20T15:07:32Z http://irep.iium.edu.my/91061/ Smart Microgrid approach for Distributed power generation of renewable energy Khushi, Farha Motakabber, S. M. A. Ahmed Hamida, Belal Azman, Amelia Wong Bhattacharjee, Amit TK1001 Production of electric energy. Powerplants The uncertainties related to renewable Smart Grid and Distribution Network is a common factor remained the underlying for every researcher. The renewable energy system has thousands of source component, and all are also located in different distance. With the time some sources may become inefficient, or any natural calamity may damage the source which causes power line faults or require schedule maintenance for better service. Some of these faults are slow developing and some are high impact. Though, the systems have safety component to suppress the issue, but affects the power generation and conduct smart grid miscalculations. A smart microgrid should have a smart Fault Location Detection and Fault Suppression unit to overcome any unnecessary burdens and uncertainties. This research modelled a smart grid system combined with a faulty detection mechanism for an efficient mechanism to overcome uncertainties. The novelty of this research is to model a SMG based on a SGC mechanism for an isolated small area, combined with a faulty detection system for an efficient mechanism to overcome uncertainties. The Faulty Location Detection (FLD) process is centered by wavelet trigger signal and mathematical morphology algorithm. In the method, the wavelet trigger signal caused by the equivalent current or voltage for a short time, travels to both terminals of the line are simulated to identify whether the fault occurs in the short branch using mathematical morphology algorithm. The modeled SMG system is divided into several segmental short branch for FLD system. Through a combined Human Machine Interface (HMI) for SMG performance and FLD monitoring process are shown for smart approach. The combined process, of SMG system modeled in MATLAB simulation platform for performance validation. IEEE 2021-07-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/91061/1/91061_Smart%20Microgrid%20approach.pdf application/pdf en http://irep.iium.edu.my/91061/7/91061_Smart%20Microgrid%20approach%20for%20Distributed%20power%20generation%20of%20renewable%20energy_Scopus.pdf Khushi, Farha and Motakabber, S. M. A. and Ahmed Hamida, Belal and Azman, Amelia Wong and Bhattacharjee, Amit (2021) Smart Microgrid approach for Distributed power generation of renewable energy. In: 2021, 8th International Conference on Computer and Communication Engineering (ICCCE), 22-23 Jun, 2021, Kuala Lumpur, Malaysia. https://ieeexplore.ieee.org/abstract/document/9467240?casa_token=NTR3wOlR5ksAAAAA:tVsRIR1tcQ13MHn_3yJA9aDvwnLZUUIcKcZlRPCRd4AoYhk-B-HkkNinokxlNW8Vc-Qu6blT_aAc2YA 10.1109/ICCCE50029.2021.9467240 |
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TK1001 Production of electric energy. Powerplants |
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TK1001 Production of electric energy. Powerplants Khushi, Farha Motakabber, S. M. A. Ahmed Hamida, Belal Azman, Amelia Wong Bhattacharjee, Amit Smart Microgrid approach for Distributed power generation of renewable energy |
| description |
The uncertainties related to renewable Smart
Grid and Distribution Network is a common factor remained
the underlying for every researcher. The renewable energy
system has thousands of source component, and all are also
located in different distance. With the time some sources may
become inefficient, or any natural calamity may damage the
source which causes power line faults or require schedule
maintenance for better service. Some of these faults are slow
developing and some are high impact. Though, the systems
have safety component to suppress the issue, but affects the
power generation and conduct smart grid miscalculations. A
smart microgrid should have a smart Fault Location Detection
and Fault Suppression unit to overcome any unnecessary
burdens and uncertainties. This research modelled a smart
grid system combined with a faulty detection mechanism for an
efficient mechanism to overcome uncertainties. The novelty of
this research is to model a SMG based on a SGC mechanism
for an isolated small area, combined with a faulty detection
system for an efficient mechanism to overcome uncertainties.
The Faulty Location Detection (FLD) process is centered by
wavelet trigger signal and mathematical morphology
algorithm. In the method, the wavelet trigger signal caused by
the equivalent current or voltage for a short time, travels to
both terminals of the line are simulated to identify whether the
fault occurs in the short branch using mathematical
morphology algorithm. The modeled SMG system is divided
into several segmental short branch for FLD system. Through
a combined Human Machine Interface (HMI) for SMG
performance and FLD monitoring process are shown for smart
approach. The combined process, of SMG system modeled in
MATLAB simulation platform for performance validation. |
| format |
Conference or Workshop Item |
| author |
Khushi, Farha Motakabber, S. M. A. Ahmed Hamida, Belal Azman, Amelia Wong Bhattacharjee, Amit |
| author_facet |
Khushi, Farha Motakabber, S. M. A. Ahmed Hamida, Belal Azman, Amelia Wong Bhattacharjee, Amit |
| author_sort |
Khushi, Farha |
| title |
Smart Microgrid approach for Distributed power generation of renewable energy |
| title_short |
Smart Microgrid approach for Distributed power generation of renewable energy |
| title_full |
Smart Microgrid approach for Distributed power generation of renewable energy |
| title_fullStr |
Smart Microgrid approach for Distributed power generation of renewable energy |
| title_full_unstemmed |
Smart Microgrid approach for Distributed power generation of renewable energy |
| title_sort |
smart microgrid approach for distributed power generation of renewable energy |
| publisher |
IEEE |
| publishDate |
2021 |
| url |
http://irep.iium.edu.my/91061/1/91061_Smart%20Microgrid%20approach.pdf http://irep.iium.edu.my/91061/7/91061_Smart%20Microgrid%20approach%20for%20Distributed%20power%20generation%20of%20renewable%20energy_Scopus.pdf http://irep.iium.edu.my/91061/ https://ieeexplore.ieee.org/abstract/document/9467240?casa_token=NTR3wOlR5ksAAAAA:tVsRIR1tcQ13MHn_3yJA9aDvwnLZUUIcKcZlRPCRd4AoYhk-B-HkkNinokxlNW8Vc-Qu6blT_aAc2YA |
| _version_ |
1717092995959881728 |
| score |
13.211869 |