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Fuzzy Logic-Based Droop Controller for Parallel Inverter in Autonomous Microgrid Using Vectored Controlled Feed-Forward for Unequal Impedance
https://orcid.org/http://orcid.org/0000-0002-5989-1800
This paper presented voltage and frequency control by using fuzzy logic-based vectored controlled feed-forward droop controller method in islanded microgrid. Traditionally, all the distributed energy resource is connected to microgrid. Droop control method is examined as a high priority to share a power between the parallel-connected inverter in microgrid. The problem of controlling equal load of active and reactive power associated by unequal line impedance is resolved by fuzzy logic-based vectored controlled feed-forward droop controller method. In modified controller, droop coefficient can be tuning by fuzzy logic control system for sharing a power between the inverter with vectored voltage and current controller. The control unit helps to maintain power between the parallel inverter operation, according to the load. The modified droop controller is compared the frequency response and equal power sharing problem in parallel connected inverter in island microgrid with traditional droop (conventional droop) and PI controller in MATLAB/SIMULINK.
Fuzzy Logic-Based Droop Controller for Parallel Inverter in Autonomous Microgrid Using Vectored Controlled Feed-Forward for Unequal Impedance
https://orcid.org/http://orcid.org/0000-0002-5989-1800
This paper presented voltage and frequency control by using fuzzy logic-based vectored controlled feed-forward droop controller method in islanded microgrid. Traditionally, all the distributed energy resource is connected to microgrid. Droop control method is examined as a high priority to share a power between the parallel-connected inverter in microgrid. The problem of controlling equal load of active and reactive power associated by unequal line impedance is resolved by fuzzy logic-based vectored controlled feed-forward droop controller method. In modified controller, droop coefficient can be tuning by fuzzy logic control system for sharing a power between the inverter with vectored voltage and current controller. The control unit helps to maintain power between the parallel inverter operation, according to the load. The modified droop controller is compared the frequency response and equal power sharing problem in parallel connected inverter in island microgrid with traditional droop (conventional droop) and PI controller in MATLAB/SIMULINK.
Fuzzy Logic-Based Droop Controller for Parallel Inverter in Autonomous Microgrid Using Vectored Controlled Feed-Forward for Unequal Impedance
https://orcid.org/http://orcid.org/0000-0002-5989-1800
This paper presented voltage and frequency control by using fuzzy logic-based vectored controlled feed-forward droop controller method in islanded microgrid. Traditionally, all the distributed energy resource is connected to microgrid. Droop control method is examined as a high priority to share a power between the parallel-connected inverter in microgrid. The problem of controlling equal load of active and reactive power associated by unequal line impedance is resolved by fuzzy logic-based vectored controlled feed-forward droop controller method. In modified controller, droop coefficient can be tuning by fuzzy logic control system for sharing a power between the inverter with vectored voltage and current controller. The control unit helps to maintain power between the parallel inverter operation, according to the load. The modified droop controller is compared the frequency response and equal power sharing problem in parallel connected inverter in island microgrid with traditional droop (conventional droop) and PI controller in MATLAB/SIMULINK.
Fuzzy Logic-Based Droop Controller for Parallel Inverter in Autonomous Microgrid Using Vectored Controlled Feed-Forward for Unequal Impedance
J. Inst. Eng. India Ser. B
Yadav, Mukhraj (author) / Jaiswal, Prakhar (author) / Singh, Navdeep (author)
Journal of The Institution of Engineers (India): Series B ; 102 ; 691-705
2021-08-01
15 pages
Article (Journal)
Electronic Resource
English
| American Institute of Physics | 2018