Conceptual Design of A Multi-Agent System for Interconnected Power Systems Restoration

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.

[1]  James S. Thorp,et al.  Agent technology applied to adaptive relay setting for multi-terminal lines , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[2]  Chen-Ching Liu,et al.  The strategic power infrastructure defense (SPID) system. A conceptual design , 2000, IEEE Control Systems.

[3]  Lamine Mili,et al.  Catastrophic Failures in Power Systems: Causes, Analyses, and Countermeasures , 2005, Proceedings of the IEEE.

[4]  Minjie Zhang,et al.  Market-driven agents with uncertain and dynamic outside options , 2007, AAMAS '07.

[5]  Hiroshi Sasaki,et al.  A multiagent approach to distribution system restoration , 2005 .

[6]  Sarit Kraus,et al.  Strategic Negotiation in Multiagent Environments , 2001, Intelligent robots and autonomous agents.

[7]  M. Lehtonen,et al.  Distributed agent-based State estimation for electrical distribution networks , 2005, IEEE Transactions on Power Systems.

[8]  Danny Sutanto,et al.  Voltage instability in interconnected power systems: a simulation approach , 1992 .

[9]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges , 2007, IEEE Transactions on Power Systems.

[10]  H. Sasaki,et al.  A multi-agent approach to power system restoration , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[11]  M. Lehtonen,et al.  An agent concept for managing electrical distribution networks , 2005, IEEE Transactions on Power Delivery.

[12]  Chia-Hung Lin,et al.  A multiagent‐based distribution automation system for service restoration of fault contingencies , 2011 .

[13]  T. Nagata,et al.  Decentralized approach to normal operations for power system network , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[14]  Chunyan Miao,et al.  A Market-Based Multi-Issue Negotiation Model Considering Multiple Preferences in Dynamic E-Marketplaces , 2009, PRIMA.

[15]  C. C. Liu,et al.  Adaptation in Load Shedding under Vulnerable Operation Conditions , 2002, IEEE Power Engineering Review.

[16]  Toshihisa Funabashi,et al.  Multi-agent based Autonomous Power Distribution Network Restoration by using Contract Net Protocol , 2007 .

[17]  N.N. Schulz,et al.  A Multi-Agent Solution to Distribution Systems Restoration , 2007, IEEE Transactions on Power Systems.

[18]  Karen L. Butler-Purry,et al.  Multi-Agent System for Automated Service Restoration of Shipboard Power Systems , 2002, CAINE.

[19]  Horst F. Wedde,et al.  Real-time multi-agent support for decentralized management of electric power , 2006, 18th Euromicro Conference on Real-Time Systems (ECRTS'06).