Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid
The research work presents a novel approach for the control of frequency in an islanded AC Microgrid (MG)system. Different renewable energy sources such as Solar energy and wind energy are combined together to form a MG system. Any parametric change in renewable sources creates fluctuations in frequ...
Published in: | International Journal of Applied Engineering and Technology (London) |
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2023
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2-s2.0-85178452755 Adam M.M.; Munim W.N.W.A.; Hannoon N.; Yusoh M.A.T.M.; Ali N.H.N.; Satapathy A. Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid 2023 International Journal of Applied Engineering and Technology (London) 5 3 10.61485/ijaet/v5-3-2023-16 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178452755&doi=10.61485%2fijaet%2fv5-3-2023-16&partnerID=40&md5=206c67cfd928053c6c3e45f82485bd6e The research work presents a novel approach for the control of frequency in an islanded AC Microgrid (MG)system. Different renewable energy sources such as Solar energy and wind energy are combined together to form a MG system. Any parametric change in renewable sources creates fluctuations in frequency and power in a Micro grid system. Thus in order to suppress these types of disturbance, a suitable controller has to be designed. Thus in this research work, a Tilt integral derivative (TID) controller has been designed, for MG system, whose parameters are optimized and tuned with the help of a novel hybrid Grey Wolf and Cuckoo Search (HGW-CS) algorithm to overcome the difficulties. The proposed Micro Grid is based on distributed generators like Diesel Engine Generator (DEG), Flywheel Energy Storage System (FESS), Battery Energy Storage System (BESS), Micro Turbine (MT), Fuel cell (FC) and Aqua-electrolyze (AE) are used in MG system to fulfill the load demand. The novel HGW-CS based TID controller is implemented in MG system and the robustness of the controller is investigated at different cases and it gives better performance with working well at any adverse situations. All the simulations are carried out with the help of MATLAB environment. It is depicted from the results that the proposed controller performs better than the conventional controllers. © 2023, Roman Science Publications and Distributions. All rights reserved. Roman Science Publications and Distributions 26334828 English Article All Open Access; Bronze Open Access |
author |
Adam M.M.; Munim W.N.W.A.; Hannoon N.; Yusoh M.A.T.M.; Ali N.H.N.; Satapathy A. |
spellingShingle |
Adam M.M.; Munim W.N.W.A.; Hannoon N.; Yusoh M.A.T.M.; Ali N.H.N.; Satapathy A. Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
author_facet |
Adam M.M.; Munim W.N.W.A.; Hannoon N.; Yusoh M.A.T.M.; Ali N.H.N.; Satapathy A. |
author_sort |
Adam M.M.; Munim W.N.W.A.; Hannoon N.; Yusoh M.A.T.M.; Ali N.H.N.; Satapathy A. |
title |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
title_short |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
title_full |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
title_fullStr |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
title_full_unstemmed |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
title_sort |
Design and Analysis of Novel Hybrid Grey Wolf and Cuckoo Search-Based Tilt Integral Derivative Controller for Frequency Control in Islanded Microgrid |
publishDate |
2023 |
container_title |
International Journal of Applied Engineering and Technology (London) |
container_volume |
5 |
container_issue |
3 |
doi_str_mv |
10.61485/ijaet/v5-3-2023-16 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178452755&doi=10.61485%2fijaet%2fv5-3-2023-16&partnerID=40&md5=206c67cfd928053c6c3e45f82485bd6e |
description |
The research work presents a novel approach for the control of frequency in an islanded AC Microgrid (MG)system. Different renewable energy sources such as Solar energy and wind energy are combined together to form a MG system. Any parametric change in renewable sources creates fluctuations in frequency and power in a Micro grid system. Thus in order to suppress these types of disturbance, a suitable controller has to be designed. Thus in this research work, a Tilt integral derivative (TID) controller has been designed, for MG system, whose parameters are optimized and tuned with the help of a novel hybrid Grey Wolf and Cuckoo Search (HGW-CS) algorithm to overcome the difficulties. The proposed Micro Grid is based on distributed generators like Diesel Engine Generator (DEG), Flywheel Energy Storage System (FESS), Battery Energy Storage System (BESS), Micro Turbine (MT), Fuel cell (FC) and Aqua-electrolyze (AE) are used in MG system to fulfill the load demand. The novel HGW-CS based TID controller is implemented in MG system and the robustness of the controller is investigated at different cases and it gives better performance with working well at any adverse situations. All the simulations are carried out with the help of MATLAB environment. It is depicted from the results that the proposed controller performs better than the conventional controllers. © 2023, Roman Science Publications and Distributions. All rights reserved. |
publisher |
Roman Science Publications and Distributions |
issn |
26334828 |
language |
English |
format |
Article |
accesstype |
All Open Access; Bronze Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677681292214272 |