Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation
Abstract The current paper presents a multi‐objective manta ray foraging algorithm (MO‐MRFA) for efficient operation of hybrid AC and multi‐terminal direct current (MTDC) power grids. The multi‐objective framework aims at achieving economical, technical and environmental benefits by minimising the t...
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| Format: | Article |
| Language: | English |
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Wiley
2021-04-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12104 |
| _version_ | 1818021920002539520 |
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| author | Abdullah M. Shaheen Ragab A. El‐Sehiemy Abdallah M. Elsayed Ehab E. Elattar |
| author_facet | Abdullah M. Shaheen Ragab A. El‐Sehiemy Abdallah M. Elsayed Ehab E. Elattar |
| author_sort | Abdullah M. Shaheen |
| collection | DOAJ |
| description | Abstract The current paper presents a multi‐objective manta ray foraging algorithm (MO‐MRFA) for efficient operation of hybrid AC and multi‐terminal direct current (MTDC) power grids. The multi‐objective framework aims at achieving economical, technical and environmental benefits by minimising the total production fuel costs, minimising the transmission power losses and minimising the environmental emissions in the AC/MTDC transmission systems. The MRFA imitates three separate independent foraging organisations of the manta rays. It is updated incorporating an additional Pareto archive to preserve the non‐dominated solutions. A dynamic adaptation of the fitness feature is employed by iteratively varying the form of the employed fitness function. Furthermore, a fuzzy decision‐making technique is activated to finally pick the appropriate operating point of the AC/MTDC power grids. The proposed technique is compared with other reported algorithms in the literatures. The applications are conducted on three test systems. These systems are IEEE 30‐bus, IEEE 57‐bus test power systems in addition to real part of the Egyptian grid at West Delta region. Numerical results demonstrate that the proposed MO‐MRFA has great effectiveness and robustness indices over the others. Nevertheless, the proposed MO‐MRFA is successfully extracting several Pareto solutions that meet the techno‐economic requirements with accepted environmental concerns. |
| first_indexed | 2024-04-14T08:24:39Z |
| format | Article |
| id | doaj.art-c891de5dbeba4dfeb0edb54c7be9fb48 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-14T08:24:39Z |
| publishDate | 2021-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-c891de5dbeba4dfeb0edb54c7be9fb482022-12-22T02:04:06ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-04-011581314133610.1049/gtd2.12104Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisationAbdullah M. Shaheen0Ragab A. El‐Sehiemy1Abdallah M. Elsayed2Ehab E. Elattar3Electrical Engineering Department Faculty of Engineering Suez University Suez EgyptElectrical Engineering Department, Faculty of Engineering Kafrelsheikh University Elgeish street Kafrelshiekh 33516 EgyptElectrical Engineering Department Faculty of Engineering Damietta University Damietta EgyptElectrical Engineering Department College of Engineering Taif University P.O. Box 11099 Taif 21944 Saudi ArabiaAbstract The current paper presents a multi‐objective manta ray foraging algorithm (MO‐MRFA) for efficient operation of hybrid AC and multi‐terminal direct current (MTDC) power grids. The multi‐objective framework aims at achieving economical, technical and environmental benefits by minimising the total production fuel costs, minimising the transmission power losses and minimising the environmental emissions in the AC/MTDC transmission systems. The MRFA imitates three separate independent foraging organisations of the manta rays. It is updated incorporating an additional Pareto archive to preserve the non‐dominated solutions. A dynamic adaptation of the fitness feature is employed by iteratively varying the form of the employed fitness function. Furthermore, a fuzzy decision‐making technique is activated to finally pick the appropriate operating point of the AC/MTDC power grids. The proposed technique is compared with other reported algorithms in the literatures. The applications are conducted on three test systems. These systems are IEEE 30‐bus, IEEE 57‐bus test power systems in addition to real part of the Egyptian grid at West Delta region. Numerical results demonstrate that the proposed MO‐MRFA has great effectiveness and robustness indices over the others. Nevertheless, the proposed MO‐MRFA is successfully extracting several Pareto solutions that meet the techno‐economic requirements with accepted environmental concerns.https://doi.org/10.1049/gtd2.12104Optimisation techniquesControl of electric power systemsOptimisation techniquesCombinatorial mathematicsPower system management, operation and economicsPower system control |
| spellingShingle | Abdullah M. Shaheen Ragab A. El‐Sehiemy Abdallah M. Elsayed Ehab E. Elattar Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation IET Generation, Transmission & Distribution Optimisation techniques Control of electric power systems Optimisation techniques Combinatorial mathematics Power system management, operation and economics Power system control |
| title | Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation |
| title_full | Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation |
| title_fullStr | Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation |
| title_full_unstemmed | Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation |
| title_short | Multi‐objective manta ray foraging algorithm for efficient operation of hybrid AC/DC power grids with emission minimisation |
| title_sort | multi objective manta ray foraging algorithm for efficient operation of hybrid ac dc power grids with emission minimisation |
| topic | Optimisation techniques Control of electric power systems Optimisation techniques Combinatorial mathematics Power system management, operation and economics Power system control |
| url | https://doi.org/10.1049/gtd2.12104 |
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