Economic dispatch solution using moth-flame optimization algorithm
This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ra...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
EDP Sciences
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22200/ http://umpir.ump.edu.my/id/eprint/22200/ http://umpir.ump.edu.my/id/eprint/22200/1/50.%20Economic%20dispatch%20solution%20using%20moth-flame%20optimization%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/22200/2/50.1%20Economic%20dispatch%20solution%20using%20moth-flame%20optimization%20algorithm.pdf |
| Summary: | This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ramp rate limits, prohibited operating zones and generators operating limits. To show the effectiveness of proposed algorithm, two case systems are used: 6-units and 15-units systems and then the performance of MFO is compared with other techniques from literature. The results show that MFO is able to obtain less total cost than those other algorithms. |
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