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

LI Zhi¹  CHANG Xiaoping¹  QIN Jianhua²

(1. Department of Electrical and Information Engineering, Wuhan Polytechnic University, Wuhan 430023;

2. School of Mechanical Engineering, Wuhan Institute of Technology, Wuhan 430070)

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 coefficient 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 algorithms and genetic algorithms. 

Key words: Space station  Solar energy  Dynamic power system  Particle swarm algorithms  Optimization design

CLC No: TH45

湖北省教育厅重点科研项目(2004D011). Received 20051120,  received in revised form 20060320