基于GSA-IPM算法的船舶电力系统无功优化

Reactive Power Optimization for Ship Power System Based on GSA-IPM Algorithm

提出GSA-IPM(万有引力-内点)算法求解船舶电力系统无功优化问题,该方法可以降低船舶电力系统的有功损耗,提高电压质量,改善安全经济运行水平。将算法应用于某实际船舶电力系统进行仿真测试,结果与万有引力搜索算法(GSA)、遗传算法(GA)及粒子群算法(PSO)作比较,证明了算法能够使有功网损更低,电压质量更佳,从而验证了方法的有效性。

GSA-IPM （Gravitational search algorithm （GSA）-Interior point method （IPM）） algorithm is proposed to solve the reactive power optimization problem of ship power system, so as to reduce the active power loss, improve the voltage quality, and improve the safe and economic operation level of the ship power system. The algorithm is applied to a practical ship power system for simulation test. Comparing the results with the GSA, Genetic Algorithm （GA） and Particle Swarm Optimization （PSO）, it is proved that the algorithm can make the active power loss lower and improve the voltage quality, thus the effectiveness of the method is verified.