Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm
The main aim of a power utility company is to supply quality and uninterrupted power to customers. This becomes a growing challenge as the continued increase in population calls for proportional increase in power supply to additional loads. If not well planned, this steady increase in power demand c...
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| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8131952 |
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| author | L. O. Mogaka G. N. Nyakoe M. J. Saulo |
| author_facet | L. O. Mogaka G. N. Nyakoe M. J. Saulo |
| author_sort | L. O. Mogaka |
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| description | The main aim of a power utility company is to supply quality and uninterrupted power to customers. This becomes a growing challenge as the continued increase in population calls for proportional increase in power supply to additional loads. If not well planned, this steady increase in power demand can lead to voltage collapse and eventual power blackouts. In instances where power demand exceeds generation within islanded microgrid or due to an occurrence of a contingency, optimum load shedding should be put in place so as to enhance system security and stability of the power system. Load shedding is traditionally done based on undervoltage measurements or underfrequency measurements of a given section of the grid. However, when compared with conventional methods, metaheuristic algorithms perform better in accurate determination of optimal amount of load to be shed during a contingency or undersupply situations. In this study, an islanded microgrid with high penetration of Renewable Energy Sources (RESs) is analyzed, and then Artificial Bee Colony (ABC) algorithm is applied for optimal load shedding. The results are then compared with those of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GA-PSO hybrid. Both generation and overload contingencies are considered on a standard IEEE 30-bus system on a MATLAB platform. Different buses are assigned priority indices which forms the basis of the determination of which loads and what amount of load to shed at any particular time. |
| format | Article |
| id | doaj-art-cc1dc8850360491aae74a9dbcf3141e4 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-cc1dc8850360491aae74a9dbcf3141e42025-02-03T01:05:25ZengWileyJournal of Engineering2314-49042314-49122020-01-01202010.1155/2020/81319528131952Power Prioritization and Load Shedding in an Island with RESs Using ABC AlgorithmL. O. Mogaka0G. N. Nyakoe1M. J. Saulo2Department of Electrical Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), P.O. Box 62000-00200, City Square, Nairobi, KenyaDepartment of Electrical Engineering, Jomo Kenyatta University of Agriculture and Technology (JKUAT), P.O. Box 62000-00200, City Square, Nairobi, KenyaDepartment of Electrical Engineering, Technical University of Mombasa, P. O. Box 90420-80100, Mombasa, KenyaThe main aim of a power utility company is to supply quality and uninterrupted power to customers. This becomes a growing challenge as the continued increase in population calls for proportional increase in power supply to additional loads. If not well planned, this steady increase in power demand can lead to voltage collapse and eventual power blackouts. In instances where power demand exceeds generation within islanded microgrid or due to an occurrence of a contingency, optimum load shedding should be put in place so as to enhance system security and stability of the power system. Load shedding is traditionally done based on undervoltage measurements or underfrequency measurements of a given section of the grid. However, when compared with conventional methods, metaheuristic algorithms perform better in accurate determination of optimal amount of load to be shed during a contingency or undersupply situations. In this study, an islanded microgrid with high penetration of Renewable Energy Sources (RESs) is analyzed, and then Artificial Bee Colony (ABC) algorithm is applied for optimal load shedding. The results are then compared with those of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GA-PSO hybrid. Both generation and overload contingencies are considered on a standard IEEE 30-bus system on a MATLAB platform. Different buses are assigned priority indices which forms the basis of the determination of which loads and what amount of load to shed at any particular time.http://dx.doi.org/10.1155/2020/8131952 |
| spellingShingle | L. O. Mogaka G. N. Nyakoe M. J. Saulo Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm Journal of Engineering |
| title | Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm |
| title_full | Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm |
| title_fullStr | Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm |
| title_full_unstemmed | Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm |
| title_short | Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm |
| title_sort | power prioritization and load shedding in an island with ress using abc algorithm |
| url | http://dx.doi.org/10.1155/2020/8131952 |
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