Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA)
Overcurrent relay coordination is crucial for ensuring the reliable and selective operation of power system protection. This project investigates the application of the Artificial Hummingbird Algorithm (AHA) in optimizing overcurrent relay coordination to minimize operation time while meeting select...
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Institute of Electrical and Electronics Engineers Inc.
2023
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Online Access: | http://umpir.ump.edu.my/id/eprint/41903/1/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial.pdf http://umpir.ump.edu.my/id/eprint/41903/2/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial%20Hummingbird%20Algorithm%20%28AHA%29_ABS.pdf http://umpir.ump.edu.my/id/eprint/41903/ https://doi.org/10.1109/ICSPC59664.2023.10420096 |
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my.ump.umpir.419032024-08-30T00:15:06Z http://umpir.ump.edu.my/id/eprint/41903/ Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) Noor Zaihah, Jamal Arfan Haziq, Fathul Azmi T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Overcurrent relay coordination is crucial for ensuring the reliable and selective operation of power system protection. This project investigates the application of the Artificial Hummingbird Algorithm (AHA) in optimizing overcurrent relay coordination to minimize operation time while meeting selectivity criteria and operating limits. The AHA is a bio-inspired metaheuristic algorithm that mimics the movement patterns of hummingbirds. The mathematical formulation of AHA involves position update equations and exploration-exploitation balance. The project focuses on implementing AHA in a simulated 8-bus and 9-bus power system network. The simulation results demonstrate the effectiveness of AHA in achieving optimal coordination among the overcurrent relays, improving coordination accuracy, and reducing operation time. AHA is compared with conventional methods and other metaheuristic algorithms, highlighting its advantages in terms of convergence speed and coordination accuracy. The findings provide valuable insights into the potential of AHA as an efficient and effective approach for overcurrent relay coordination. This project contributes to the field of power system protection by presenting a novel algorithmic solution for improving coordination and reliability in power system networks. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41903/1/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial.pdf pdf en http://umpir.ump.edu.my/id/eprint/41903/2/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial%20Hummingbird%20Algorithm%20%28AHA%29_ABS.pdf Noor Zaihah, Jamal and Arfan Haziq, Fathul Azmi (2023) Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA). In: 2023 IEEE 11th Conference on Systems, Process and Control, ICSPC 2023 - Proceedings. 11th IEEE Conference on Systems, Process and Control, ICSPC 2023 , 16 December 2023 , Malacca. pp. 66-71. (197292). ISBN 979-835034086-0 (Published) https://doi.org/10.1109/ICSPC59664.2023.10420096 |
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T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Noor Zaihah, Jamal Arfan Haziq, Fathul Azmi Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
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Overcurrent relay coordination is crucial for ensuring the reliable and selective operation of power system protection. This project investigates the application of the Artificial Hummingbird Algorithm (AHA) in optimizing overcurrent relay coordination to minimize operation time while meeting selectivity criteria and operating limits. The AHA is a bio-inspired metaheuristic algorithm that mimics the movement patterns of hummingbirds. The mathematical formulation of AHA involves position update equations and exploration-exploitation balance. The project focuses on implementing AHA in a simulated 8-bus and 9-bus power system network. The simulation results demonstrate the effectiveness of AHA in achieving optimal coordination among the overcurrent relays, improving coordination accuracy, and reducing operation time. AHA is compared with conventional methods and other metaheuristic algorithms, highlighting its advantages in terms of convergence speed and coordination accuracy. The findings provide valuable insights into the potential of AHA as an efficient and effective approach for overcurrent relay coordination. This project contributes to the field of power system protection by presenting a novel algorithmic solution for improving coordination and reliability in power system networks. |
format |
Conference or Workshop Item |
author |
Noor Zaihah, Jamal Arfan Haziq, Fathul Azmi |
author_facet |
Noor Zaihah, Jamal Arfan Haziq, Fathul Azmi |
author_sort |
Noor Zaihah, Jamal |
title |
Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
title_short |
Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
title_full |
Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
title_fullStr |
Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
title_full_unstemmed |
Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) |
title_sort |
optimization of overcurrent relays coordination using artificial hummingbird algorithm (aha) |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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http://umpir.ump.edu.my/id/eprint/41903/1/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial.pdf http://umpir.ump.edu.my/id/eprint/41903/2/Optimization%20of%20overcurrent%20relays%20coordination%20using%20Artificial%20Hummingbird%20Algorithm%20%28AHA%29_ABS.pdf http://umpir.ump.edu.my/id/eprint/41903/ https://doi.org/10.1109/ICSPC59664.2023.10420096 |
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