摘要
随着电力技术的不断发展,舰船电力设备的数量和质量不断提高,不仅提高了舰船航行的安全性,还促进了舰船作业的效率,提高了船舶工业的生产水平。船舶综合电力系统包括发电机、变电站、输电线路、终端负载等,具有拓扑结构复杂、工作条件恶劣等特点。因此,提高舰船电力系统的安全性、可靠性,改善电力系统的使用质量具有重要的意义。本文充分结合基于梯度法的微粒群优化算法,对舰船电力系统的稳定性理论、故障恢复等问题进行优化和改善。
With the continuous development of electric power technology,the quantity and quality of naval power equipment are constantly improving,which not only improves the safety of naval vessels,but also promotes the efficiency of naval operations and improves the production level of the shipbuilding industry.Ship integrated power system includes generators,substations,transmission lines,terminal loads,etc.It has the characteristics of complex topology and bad working conditions.Therefore,it is of great significance to improve the safety and reliability of the naval power system and the quality of the power system.In this paper,the stability theory and fault recovery of naval power system are optimized and improved by combining the particle swarm optimization algorithm based on gradient method.
作者
李喜林
申英霞
LI Xi-lin;SHEN Ying-xia(Tangshan Polytechnics College,Tangshan 063299,China)
出处
《舰船科学技术》
北大核心
2019年第8期115-117,共3页
Ship Science and Technology
关键词
电力系统
微粒群优化
可靠性理论
power system
particle swarm optimization
reliability theory
