Developing a simulation framework for integrating multi-agent protection system into smart grids

Although the concept of smart grid has been inspiring for applying complex algorithms and strategies in operating of power systems, but verification of these algorithms are presumed on reliable and accurate simulation framework. To address this significant aspect of the smart grid, a simulation framework is developed through interfacing between MATLAB/SIMULINK with Java Agent Development Environment (JADE). Furthermore, based on the proposed simulation framework a multi-agent protection system (MAPS) has been identified where different agent types collaborate in system protection tasks. The main objective of this paper is to highlight the requirements for an effective simulation framework to integrate MAPS into future smart grids.

[1]  P. Crossley,et al.  Multi-Agent System-based Protection Coordination of Distribution Feeders , 2007, 2007 International Conference on Intelligent Systems Applications to Power Systems.

[2]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems , 2007, IEEE Transactions on Power Systems.

[3]  T. Ackermann,et al.  Interaction between distributed generation and the distribution network: operation aspects , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[4]  K.P. Wong,et al.  Multi-agent application in protection coordination of power system with distributed generations , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[5]  N.N. Schulz,et al.  Using intelligent multi-agent systems for shipboard power systems reconfiguration , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[6]  L.A. Kojovic,et al.  Summary of Distributed Resources Impact on Power Delivery Systems , 2008, IEEE Transactions on Power Delivery.

[7]  Peter Palensky,et al.  Simulating Cyber-Physical Energy Systems: Challenges, Tools and Methods , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[8]  I. Zabet,et al.  Decentralized control and management systems for power industry via multiagent systems technology , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).

[9]  Ned Djilali,et al.  GridLAB-D: An Agent-Based Simulation Framework for Smart Grids , 2014, J. Appl. Math..

[10]  S.D.J. McArthur,et al.  Building multi-agent systems for power engineering applications , 2006, 2006 IEEE Power Engineering Society General Meeting.

[11]  Ming-yu Yang,et al.  A Cooperative Protection System with Multi-Agent System , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[12]  B.F. Wollenberg,et al.  Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.

[13]  S. X. Chen,et al.  Multi-Agent System for Distributed Management of Microgrids , 2015, IEEE Transactions on Power Systems.

[14]  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.

[15]  Emanuel Bernabeu,et al.  Methodology for a Security/Dependability Adaptive Protection Scheme Based on Data Mining , 2012, IEEE Transactions on Power Delivery.