Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system
The critical challenge for an efficient islanding operation of a distribution system having Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary load shedding schemes are inefficient and do not adequately assess the optimum amount of load to shed which results...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447921004378 |
| _version_ | 1817981567765577728 |
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| author | Md. Shadman Abid Hasan Jamil Apon Ashik Ahmed Khandaker Adil Morshed |
| author_facet | Md. Shadman Abid Hasan Jamil Apon Ashik Ahmed Khandaker Adil Morshed |
| author_sort | Md. Shadman Abid |
| collection | DOAJ |
| description | The critical challenge for an efficient islanding operation of a distribution system having Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary load shedding schemes are inefficient and do not adequately assess the optimum amount of load to shed which results in either excessive or inadequate load shedding. Hence, this paper presents an optimal load shedding technique using Chaotic Slime Mould Algorithm (CSMA) with sinusoidal map in order to achieve greater efficiency. A constrained function with static voltage stability margin (VSM) index and total remaining load after load shedding was applied to accomplish the evaluation. A total of three islanding scenarios of IEEE 33 bus and IEEE 69 bus radial distribution systems were used as test systems to assess the efficacy of the proposed load shedding approach using MATLAB software. To identify performance enhancements, the developed method was compared to Backtrack Search Algorithm (BSA) and the original SMA. According to the results, CSMA outperforms both BSA and SMA in terms of remaining load and voltage stability margin index values in all the test systems. |
| first_indexed | 2024-04-13T23:08:53Z |
| format | Article |
| id | doaj.art-c07a40793c154a5d851ea8f1c43c3aab |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-13T23:08:53Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-c07a40793c154a5d851ea8f1c43c3aab2022-12-22T02:25:38ZengElsevierAin Shams Engineering Journal2090-44792022-06-01134101659Chaotic slime mould optimization algorithm for optimal load-shedding in distribution systemMd. Shadman Abid0Hasan Jamil Apon1Ashik Ahmed2Khandaker Adil Morshed3Corresponding author.; Department of Electrical and Electronic Engineering, Islamic University of Technology, Gazipur 1704, BangladeshDepartment of Electrical and Electronic Engineering, Islamic University of Technology, Gazipur 1704, BangladeshDepartment of Electrical and Electronic Engineering, Islamic University of Technology, Gazipur 1704, BangladeshDepartment of Electrical and Electronic Engineering, Islamic University of Technology, Gazipur 1704, BangladeshThe critical challenge for an efficient islanding operation of a distribution system having Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary load shedding schemes are inefficient and do not adequately assess the optimum amount of load to shed which results in either excessive or inadequate load shedding. Hence, this paper presents an optimal load shedding technique using Chaotic Slime Mould Algorithm (CSMA) with sinusoidal map in order to achieve greater efficiency. A constrained function with static voltage stability margin (VSM) index and total remaining load after load shedding was applied to accomplish the evaluation. A total of three islanding scenarios of IEEE 33 bus and IEEE 69 bus radial distribution systems were used as test systems to assess the efficacy of the proposed load shedding approach using MATLAB software. To identify performance enhancements, the developed method was compared to Backtrack Search Algorithm (BSA) and the original SMA. According to the results, CSMA outperforms both BSA and SMA in terms of remaining load and voltage stability margin index values in all the test systems.http://www.sciencedirect.com/science/article/pii/S2090447921004378Slime mould algorithmSteady state load sheddingOptimizationVoltage stabilityChaotic slime mould algorithmVSM |
| spellingShingle | Md. Shadman Abid Hasan Jamil Apon Ashik Ahmed Khandaker Adil Morshed Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system Ain Shams Engineering Journal Slime mould algorithm Steady state load shedding Optimization Voltage stability Chaotic slime mould algorithm VSM |
| title | Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system |
| title_full | Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system |
| title_fullStr | Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system |
| title_full_unstemmed | Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system |
| title_short | Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system |
| title_sort | chaotic slime mould optimization algorithm for optimal load shedding in distribution system |
| topic | Slime mould algorithm Steady state load shedding Optimization Voltage stability Chaotic slime mould algorithm VSM |
| url | http://www.sciencedirect.com/science/article/pii/S2090447921004378 |
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