Abstract
Economic dispatch aims to determine the optimal generated power from the generation units to meet the required load at the lowest fuel cost. In this paper, a stochastic whale optimization (SWO) method is proposed to solve the economic dispatch problem. Whale optimization algorithm is enhanced using mutation and crossover operators. To test the proposed method two systems (3 and 10 generating units) are tested. We compare the proposed SWO algorithm with whale optimization algorithm, artificial bee colony algorithm, dragonfly algorithm, ant lion algorithm, gray wolf optimization, and whale optimization algorithm with mutation only. The obtained results demonstrate the high efficiency of the proposed method compared with the other methods.
Original language | English |
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Title of host publication | Proceedings of 2018 International Conference on Innovative Trends in Computer Engineering, ITCE 2018 |
Publisher | IEEE |
Pages | 19-24 |
Number of pages | 6 |
ISBN (Electronic) | 9781538608777 |
DOIs | |
Publication status | Published - 14 Mar 2018 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Innovative Trends in Computer Engineering - Aswan, Egypt Duration: 19 Feb 2018 → 21 Feb 2018 |
Conference
Conference | International Conference on Innovative Trends in Computer Engineering |
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Abbreviated title | ITCE |
Country/Territory | Egypt |
City | Aswan |
Period | 19/02/2018 → 21/02/2018 |
Keywords
- Economic Dispatch
- Smart Grid
- Whale Optimization Algorithm