• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2006, Vol. 42 ›› Issue (9): 195-200.

• Article • Previous Articles     Next Articles

OPTIMIZATION DESIGN OF SOLAR ENERGY DYNAMIC POWER SYSTEM IN SPACE STATION BASED ON PARTICLE SWARM ALGORITHMS

LI Zhi;CHANG Xiaoping;QIN Jianhua   

  1. Department of Electrical and Information Engineering, Wuhan Polytechnic University School of Mechanical Engineering, Wuhan Institute of Technology
  • Published:2006-09-15

Abstract: Solar energy dynamic power system plays a very important role in space station. Based on particle swarm algorithms and working principle of the system, optimization simulation designs are made in order to minimize the launching mass of the system. Under the condition that all independent variables including import pressure, temperature and compression coeffi-cient of compressor, numbers and diameter of heat exchangers, regenerating temperature of regenerator, height of recycling refrigeran, diameter and length of heat exchangers and rotating speed of energy converting unit satisfy the requirements of the whole system, the launching mass is minimized. The simulation results are improved by genetic modification and the improved results are better than those calculated by particle swarm algo-rithms and genetic algorithms.

Key words: Dynamic power system, Optimization design, Particle swarm algorithms, Solar energy, Space station, morphology filter, multi-scale, structure element, time-varying scale

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