摘要
提出基于多智能体(Agent)系统的船舶综合电力系统故障恢复智能决策新方法。该方法定义与船舶电网供电区域相对应的供电区域Agent模型,基于Agent抽象体系结构设计构成供电区域Agent的各职能Agent,并建立故障恢复智能决策多Agent系统,在此基础上,基于动态主从式多Agent协同策略实现船舶综合电力系统故障恢复。典型算例系统故障恢复离线测试结果以及实时仿真结果表明,该方法能够快速、有效地求解船舶综合电力系统故障恢复问题,具有较好的工程应用前景。
A novel intelligent decision making method of service restoration for integrated ship power system based on multi-Agent system was proposed. A zone Agent model corresponding to power supply zone of grid was defined in which several functional Agents were designed based on abstraction architecture of general Agent, and a multi-Agent system for intelligent service restoration was established. Based on the multi-Agent system, the service restoration for integrated ship power system was achieved through the dynamic master-slave multi-agent cooperative strategy. The results of off-line test on typical system and real-time simulation demonstrate that the proposed restoration method can rapidly and effectively solve the service restoration problem for integrated ship power system and has good prospect of engineering application.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第13期71-78,共8页
Proceedings of the CSEE
基金
国家自然科学基金委员会创新研究群体科学基金资助项目(50421703)~~
关键词
船舶综合电力系统
故障恢复
多智能体系统
实时仿真
integrated ship power system
service restoration
multi-Agent system
real-time simulation
