基于改进粒子群算法的船舶电力系统无功优化

Reactive Power Optimization in Ship Power System Based On Modified Particle Swarm Optimization

为提高电力系统运行的经济性、稳定性和安全性,采用粒子群算法进行船舶电力系统无功优化,并针对粒子群算法在优化过程中的缺点,进行相应的改进。结合重新建立的船舶电力系统无功优化模型,对现已得到广泛应用的环形船舶电力系统进行实例仿真,并与标准的粒子群算法进行优化比较。结果表明,优化后的船舶电力系统的有功网损降低明显,电压分布也更加合理。

The Particle Swarm Optimization （PSO） is applied to the reactive power optimization of the ship power system. Some improvements are made to overcome the shortcomings of ordinary Particle Swarm Optimization algorithm. The simulation of the ring ship power system is performed with the developed mathematical model of reactive power optimized ship power system. The simulation results are compared with that of Standard Particle Swarm Optimization （SPSO） , which shows notable reduction of active power loss and improvement of voltage distribution.