A review on economic emission dispatch problems using quantum computational intelligence
Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limitation of natural resources and global warming make this topic into the center of discussion and research. This paper reviews the use of Quantum Computational Intelligence (QCI...
| Main Authors: | Mahdi, F.P., Vasant, P., Kallimani, V., Abdullah-Al-Wadud, M. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30600 / |
| Published: |
American Institute of Physics Inc.
2016
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006048070&doi=10.1063%2f1.4968051&partnerID=40&md5=29888a95c984541d390292d1e1835e46 http://eprints.utp.edu.my/30600/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: |
Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limitation of natural resources and global warming make this topic into the center of discussion and research. This paper reviews the use of Quantum Computational Intelligence (QCI) in solving Economic Emission Dispatch problems. QCI techniques like Quantum Genetic Algorithm (QGA) and Quantum Particle Swarm Optimization (QPSO) algorithm are discussed here. This paper will encourage the researcher to use more QCI based algorithm to get better optimal result for solving EED problems. © 2016 Author(s). |
|---|