Earticle

초록

영어

Gas turbines can be found in many industrial application areas. Gas turbine generation is limited by some undesirable effects which can be incorporated as operational constraints. Because of importance of energy, optimization of power generation systems is necessary. In order to achieving higher efficiencies, some propositions are preferred such as recovery of heat from exhaust gases in a regenerator, utilization of intercooler in a multistage compressor, steam injection to combustion chamber and etc. In this article multi-objective particle swarm optimization are employed for Pareto approach optimization of Gas Turbine cycle. In the multi-objective optimization a number of conflicting objective functions are to be optimized simultaneously. Multi-objective optimization offers a candidate scheme whose solution can satisfy the foregoing major requirements. At the first stage single objective optimization has been investigated and then MOPSO has been used for multi-objective optimization. The sets of selected decision variables based on this Pareto front, will cause the best possible combination of corresponding objective functions. The obtained results show that the output of multi-objective optimization scheme confirms that of single objective results.

목차

Abstract
 1. Introduction
 2. Multi-Objective Optimization
  2.1 Definitions
  2.2 Particle Swarm Optimization
  2.3 Multi-Objective Particle Swarm Optimization
 3. The Gas Turbine Power Plant
 4. Optimization Problem
 5. Conclusion
 References

키워드

저자

• Karim Salahshoor [ Electrical Engineering Department, Petroleum University ]
• Kamal Jafarian [ M.S. Student of Automation and Instrumentation Eng’g, Petroleum University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605