DocumentCode :
1285704
Title :
Energy-Efficient Thrust Allocation for Semi-Submersible Oil Rig Platforms Using Improved Harmony Search Algorithm
Author :
Yadav, Parikshit ; Kumar, Rajesh ; Panda, S.K. ; Chang, C.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
8
Issue :
4
fYear :
2012
Firstpage :
913
Lastpage :
924
Abstract :
In this paper, the thrust allocation problem for semi-submersible oil rig platform is formulated as an optimization problem, with an objective to minimize the power consumption. The electrical power consumed by the oil rig platform depends on the thrust generated by the thrusters and the efficiency of the electrical propulsion system. A detailed mathematical model to compute the efficiency of the electrical propulsion system is developed and the numerical results obtained are compared with experimental test results. The formulated energy-efficient thrust allocation problem is solved using Improved Harmony Search (IHS) algorithm. The percentage savings in total power consumption for the oil rig platform as compared to the Mincon method for Genetic Algorithm (GA), Harmony Search (HS), and IHS methods are 48.76%, 51.13%, and 53.90%, respectively. In addition, the total power consumption for energy-efficient thrust allocation approach is lesser as compared to conventional thrust allocation approach for all the considered algorithms.
Keywords :
electric propulsion; energy conservation; genetic algorithms; marine propulsion; oil drilling; power consumption; search problems; underwater vehicles; IHS method; Mincon method; electrical power consumption; electrical propulsion system; genetic algorithm; improved harmony search algorithm; mathematical model; optimization; semisubmersible oil rig platform; thrust allocation problem; thruster; total power consumption; Induction motors; Oil insulation; Optimization; Propulsion; Resource management; Dynamic positioning (DP); genetic algorithm (GA); harmony search (HS); optimization; thrust allocation problem;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2012.2205933
Filename :
6303907
Link To Document :
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