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将多agent技术的分布式信息处理和主从递阶决策方法有机结合,提出一种分布式电力系统恢复的主从递阶决策模型。采用面向agent技术设计了主从递阶恢复决策系统的体系结构、各级调度agent的内部功能结构以及基于承诺和约定的交互协作机制。各级调度层的承诺为其恢复行为提供了一定程度的可预见性,约定作为变化的恢复过程中监控子调度层承诺进展的手段,为动态环境中的主从决策层的协作提供了灵活性。仿真结果显示,该模型不仅能够处理分布式群体决策中的多决策主体之间的配合问题,而且能灵活处理恢复过程中所出现的问题。
Based on the organic combination of distributed information processing and master-slave hierarchical decision-making method of multi-agent technology, a master-slave hierarchical decision model for distributed power system restoration is proposed. The architecture of master-slave hierarchical recovery decision-making system is designed using agent-oriented technology, the internal functional structure of agent at all levels and the mechanism of interaction and collaboration based on commitment and agreement. Commitment at all levels of regulation provides some degree of predictability to their recovery behavior as a means of monitoring the progress of sub-committal commitment in the recovery process of change, providing flexibility for master-slave decision-making in dynamic environments . The simulation results show that this model not only can handle the cooperation between multiple decision-makers in distributed group decision-making, but also flexibly deal with the problems in the recovery process.