Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller
A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/3/751 |
| _version_ | 1818039465973645312 |
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| author | Angalaeswari Sendraya Perumal Jamuna Kamaraj |
| author_facet | Angalaeswari Sendraya Perumal Jamuna Kamaraj |
| author_sort | Angalaeswari Sendraya Perumal |
| collection | DOAJ |
| description | A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance. |
| first_indexed | 2024-12-10T07:59:04Z |
| format | Article |
| id | doaj.art-0021a2da152c4d60bfa7209e4053058b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T07:59:04Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0021a2da152c4d60bfa7209e4053058b2022-12-22T01:56:49ZengMDPI AGEnergies1996-10732020-02-0113375110.3390/en13030751en13030751Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning ControllerAngalaeswari Sendraya Perumal0Jamuna Kamaraj1School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, IndiaSchool of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, IndiaA novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance.https://www.mdpi.com/1996-1073/13/3/751aichi micro gridhybrid micro gridset point weighting iterative learning controllerpower managementvoltage stability |
| spellingShingle | Angalaeswari Sendraya Perumal Jamuna Kamaraj Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller Energies aichi micro grid hybrid micro grid set point weighting iterative learning controller power management voltage stability |
| title | Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller |
| title_full | Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller |
| title_fullStr | Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller |
| title_full_unstemmed | Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller |
| title_short | Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller |
| title_sort | coordinated control of aichi microgrid for efficient power management using novel set point weighting iterative learning controller |
| topic | aichi micro grid hybrid micro grid set point weighting iterative learning controller power management voltage stability |
| url | https://www.mdpi.com/1996-1073/13/3/751 |
| work_keys_str_mv | AT angalaeswarisendrayaperumal coordinatedcontrolofaichimicrogridforefficientpowermanagementusingnovelsetpointweightingiterativelearningcontroller AT jamunakamaraj coordinatedcontrolofaichimicrogridforefficientpowermanagementusingnovelsetpointweightingiterativelearningcontroller |