Abstract
In this paper, Adaptive Cuckoo Search (ACS) Algorithm is proposed for solving dynamic economic dispatch. Dynamic economic dispatch is to minimize the cost of total power production in 24 hours with considering multi fuel, generator limit, ramp rate. The proposed ACS Algorithm method has been developed on the original cuckoo search algorithm (CSA) to improve optimal solution quality. Adaptive Cuckoo search (ACS) algorithm based on the Cuckoo search (CS) for optimization. The main thrust is to decide the step size adaptively from its fitness value without using the Levy distribution. The results obtained by ACSA have been compared to those from other methods available in the literature and the result comparison has indicated that the ACSA method can obtain better solution quality than other methods. Therefore, the proposed ACSA can be a very effective and efficient method for solving ELD problems.
| Original language | English |
|---|---|
| Pages (from-to) | 251-256 |
| Number of pages | 6 |
| Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| Issue number | November |
| Publication status | Published - 1 Jan 2019 |
| Event | 1st GCC International Conference on Industrial Engineering and Operations Management, IEOM 2019 - riyadh, Saudi Arabia Duration: 26 Nov 2019 → 28 Nov 2019 |
Keywords
- Adaptive cuckoo search algorithm
- Cuckoo search algorithm
- Dynamic economic dispatch
- Generator limit
- Ramp rate
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