Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering
The main purpose of this paper is to design a good fuzzy cascade controller for interconnected microgrids (μGs) with supporting a frequency perturbation-based demand response program. A fuzzy PD-(1+I) controller is optimally designed to perform the load frequency task in a fully-renewable interconne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721008325 |
| _version_ | 1819097938482167808 |
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| author | H. Shayeghi A. Rahnama H.H. Alhelou |
| author_facet | H. Shayeghi A. Rahnama H.H. Alhelou |
| author_sort | H. Shayeghi |
| collection | DOAJ |
| description | The main purpose of this paper is to design a good fuzzy cascade controller for interconnected microgrids (μGs) with supporting a frequency perturbation-based demand response program. A fuzzy PD-(1+I) controller is optimally designed to perform the load frequency task in a fully-renewable interconnected μGs. In the proposed control strategy, exact adjusting of controller parameters and membership functions has a key role to achieve the robust performance. Thus, the fuzzy PD-(1+I) controller is automatically designed and updated using a nature-inspired mayfly optimization algorithm for finding a better controller and reducing system control cost. It combines the fuzzy theory and cascade control advantages to enhance load disturbance rejection effort in each μG and dump frequency fluctuations considering system parametric uncertainties and renewable energy sources (RESs) generation changes. The studied two-area islanded μG system by applying a fuzzy PD-(1+I) controller has been investigated in six different situations in comparison with the fuzzy PID and PD-(1+I) cascade controllers to demonstrate capability of load disturbance rejection, RESs generation changes and system parameters variation. The results in all cases show the decisive superiority of the fuzzy PD-(1+I) controller and its high adaptability than the other controllers. |
| first_indexed | 2024-12-22T00:23:02Z |
| format | Article |
| id | doaj.art-7ee1b474845746dcba0b668526feaca7 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-22T00:23:02Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-7ee1b474845746dcba0b668526feaca72022-12-21T18:45:07ZengElsevierEnergy Reports2352-48472021-11-01760776094Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program consideringH. Shayeghi0A. Rahnama1H.H. Alhelou2Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran; Co-corresponding author. Email address: Hshayeghi@gmail.com (H. Shayeghi).Energy Management Research Center, University of Mohaghegh Ardabili, Ardabil, IranSchool of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland; Corresponding author.The main purpose of this paper is to design a good fuzzy cascade controller for interconnected microgrids (μGs) with supporting a frequency perturbation-based demand response program. A fuzzy PD-(1+I) controller is optimally designed to perform the load frequency task in a fully-renewable interconnected μGs. In the proposed control strategy, exact adjusting of controller parameters and membership functions has a key role to achieve the robust performance. Thus, the fuzzy PD-(1+I) controller is automatically designed and updated using a nature-inspired mayfly optimization algorithm for finding a better controller and reducing system control cost. It combines the fuzzy theory and cascade control advantages to enhance load disturbance rejection effort in each μG and dump frequency fluctuations considering system parametric uncertainties and renewable energy sources (RESs) generation changes. The studied two-area islanded μG system by applying a fuzzy PD-(1+I) controller has been investigated in six different situations in comparison with the fuzzy PID and PD-(1+I) cascade controllers to demonstrate capability of load disturbance rejection, RESs generation changes and system parameters variation. The results in all cases show the decisive superiority of the fuzzy PD-(1+I) controller and its high adaptability than the other controllers.http://www.sciencedirect.com/science/article/pii/S2352484721008325Fuzzy cascade PD-(1+I) controllerLoad-frequency controlInterconnected microgridsDemand response program |
| spellingShingle | H. Shayeghi A. Rahnama H.H. Alhelou Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering Energy Reports Fuzzy cascade PD-(1+I) controller Load-frequency control Interconnected microgrids Demand response program |
| title | Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| title_full | Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| title_fullStr | Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| title_full_unstemmed | Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| title_short | Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| title_sort | frequency control of fully renewable interconnected microgrid using fuzzy cascade controller with demand response program considering |
| topic | Fuzzy cascade PD-(1+I) controller Load-frequency control Interconnected microgrids Demand response program |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721008325 |
| work_keys_str_mv | AT hshayeghi frequencycontroloffullyrenewableinterconnectedmicrogridusingfuzzycascadecontrollerwithdemandresponseprogramconsidering AT arahnama frequencycontroloffullyrenewableinterconnectedmicrogridusingfuzzycascadecontrollerwithdemandresponseprogramconsidering AT hhalhelou frequencycontroloffullyrenewableinterconnectedmicrogridusingfuzzycascadecontrollerwithdemandresponseprogramconsidering |