Title :
Conceptual Design of A Multi-Agent System for Interconnected Power Systems Restoration
Author :
Ren, Fenghui ; Zhang, Minjie ; Soetanto, Danny ; Su, XiaoDong
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW, Australia
fDate :
5/1/2012 12:00:00 AM
Abstract :
Outages and faults in interconnected power systems may cause cascading sequences of events, and catastrophic failures of power systems. How to efficiently manage power systems and restore the systems from faults is a challenging research issue in power engineering. Multi-agent systems are employed to address such a challenge in recent years. A centralized coordination strategy was firstly introduced to manage agents in a power system. Such a strategy usually adopts a single central coordinator to control the whole system for system management, maintenance, and restoration purposes. However, disadvantages such as deficiencies in robustness, openness, and flexibility prevent this strategy from extensive online applications. Consequently, a decentralized coordination strategy was proposed to overcome such limitations. But the decentralized coordination strategy cannot efficiently provide a global solution when serious faults spread out in a power system. In this paper, a conceptual multi-agent system design is introduced to express our proposal in power system modeling. A novel dynamic team forming mechanism is proposed to dynamically manage agents in power system with a flexible coordination structure, so as to balance the effectiveness and efficiency of the introduced multi-agent system. The results from simulations of case studies indicate the performance of the proposed multi-agent model.
Keywords :
multi-agent systems; power system faults; power system interconnection; power system management; power system reliability; power system restoration; power system simulation; cascading sequences; catastrophic failures; decentralized coordination strategy; interconnected power systems restoration; maintenance; multiagent system; power system faults; power system modeling; power system outages; power systems management; Barium; Complexity theory; Decision making; Multiagent systems; Power systems; Process control; Robustness; Dynamic team forming; multi-agent system; power system; restoration;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2011.2177866