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机构地区:[1]海军工程大学电气与信息工程学院,湖北省武汉市430033
出 处:《中国电机工程学报》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)~~
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.
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
分 类 号:TM71[电气工程—电力系统及自动化]
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