联合采用多代理和禁忌方法的系统恢复策略

Combined Use of Multi-agent and Tabu Search Approach for Power System Restoration

将多代理技术MAT的分布式信息处理和禁忌方法TSM有机结合,形成了一种新型分布式电力系统恢复模型。模型由多结点智能代理GIAGs(crunode intelligent agents)和一个智能控制代理ICAG(intelligent control agent)组成,通过多个CIAGs间交互协商处理及ICAG的基于TSM的协同求解,能够实现快速恢复决策。仿真结果表明,该模型不仅能够快速获得恢复优化策略,而且对网络拓扑结构变化具有较强的适应性。

A new distributed model for power system restoration （PSR） is presented by combining the multi-agent technology （MAT） and the tabu search method （TSM）. The proposed model consists of a number of crunode intelligent agents （CIAGs） and a single intelligent control agent （ICAG）. These agents are co-operative and capable of interacting with each other dynamically. TSM is utilized by ICAG to search for the optimal solution. Through the flexible interaction of agents and the heuristic search of TSM, the optimal strategy of PSR could be obtained. It is demonstrated by sample results that the developed model and method could lead to the optimal solution quickly, and are robust for different electric network topologies.