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Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
Mahdi, F.P1, Vasant, P2, Kallimani, V3, Fai, P.S.Y4, Wadud, M.A5.
In this research, authors have exploited particle
swarm optimization (PSO) technique for solving the emission
dispatch problem. Authors have used cubic function, instead of
quadratic function, to solve emission dispatch problem to make
the system more robust against nonlinearities of actual power
generator. PSO with cubic function reveals better results by
optimizing less emission of hazardous gases, transmission losses
and showing robustness against nonlinearities than simplified
direct search method (SDSM).
Affiliation:
- Universiti Teknologi PETRONAS, Malaysia
- Universiti Teknologi PETRONAS, Malaysia
- Universiti Teknologi PETRONAS, Malaysia
- Universiti Teknologi PETRONAS, Malaysia
- King Saud University, Saudi Arabia
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Indexation |
Indexed by |
MyJurnal (2019) |
H-Index
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0 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus (SCImago Journal Rankings 2016) |
Impact Factor
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0 |
Rank |
Q4 (Computer Networks and Communications) Q4 (Electrical and Electronic Engineering) Q4 (Hardware and Architecture) |
Additional Information |
0.112 (SJR) |
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