Application of Fuzzy Comprehensive Evaluation on COGAG Power Plant of Performance ()
Menglin Shao1*,
Qianchao Liang1,
Dong Yan1,
Heng Qin2,
Jun Xiang2
1The College of Naval, University of Engineering, Wuhan, China.
2The DaLain Naval Vessel Academy, Dalian, China.
DOI: 10.4236/jpee.2014.29005
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Abstract
A fuzzy comprehensive evaluation of COGAG
power plant performance is given by using a method of fuzzy mathematics, and
multilevel fuzzy evaluation model is set up. Taking a naval ship as an example,
the major parameters related to COGAG power plant performance are obtained by
computer simulation, and a set of synthetic performance evaluation index system
is established. The result shows that the strong fuzzy propulsion system
performance indexes can be quantified by this fuzzy evaluation model in order
to provide the reference for choosing the optimal design of ship propulsion system.
Share and Cite:
Shao, M. , Liang, Q. , Yan, D. , Qin, H. and Xiang, J. (2014) Application of Fuzzy Comprehensive Evaluation on COGAG Power Plant of Performance.
Journal of Power and Energy Engineering,
2, 29-34. doi:
10.4236/jpee.2014.29005.
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1]
|
Yu, Y.-H., Sun, F.-R. and Liu, Y.-B. (2008) Analysis of Load Efficiency Characteristics of COGAG Power Plant Based on Dynamic Simulation. Ship Engineering, 30.
|
[2]
|
Gu, H.W. (2012) Research on Parallel Method of COGAG. Harbin Engineering University, Harbin.
|
[3]
|
Altosole, M., Benvenuto, G., Figari, M. and Campora, U. (2009) Real-Time Simulation of a COGAG Naval Ship Propulsion System. Engineering for the Maritime Environment, 223, 47-61.
|
[4]
|
Zadeh, L.A. (1965) Fuzzy Sets. Information and Control, 8, 338-353.
http://dx.doi.org/10.1016/S0019-9958(65)90241-X
|
[5]
|
Yang, L.-B. and Gao, Y.-Y. (2011) Principle and Application of Fuzzy Mathematics. South China University of Technology Press.
|
[6]
|
Manuel, V., Dolores, D.M. and Antonio, R. (2003) Thermoeconomic Optimization of Combined Cycle Gas Turbine Power Plants Using Genetic Algorithms. Applied Thermal Engineering, 23, 2169-2182.
|
[7]
|
Liang, Q.-C. and Zhang, S. (2011) Research on Fuzzy Judge Model of Ship Propulsion System. 2011 IEEE International Conference on Intelligent Computing and Integrated Systems, Gui Lin, 1, 451-453.
|