Dual Layered Architecture for Multi Agent Based Islanding and Load Management for Microgrids

This paper proposes a novel dual layered multi agent system (MAS) based control system for the use in microgrid operations. In developing a smarter grid capable of withstanding disturbances and/or outages and providing quality service to the consumers, reliable microgrid control architecture is vital. The innovative microgrid control system proposed, makes the microgrid capable of isolating the local grid from effects of any upstream disturbances in the main utility grid by operating disconnected from the main utility via islanding, and it allows the most critical local loads to be supplied by any, available, local power source during such islanded operation. The proposed MAS control architecture is developed using the JADE platform and it is used to control a test network simulated in MATLAB. The results of these simulations show the capability of developing MAS based reliable control mechanism for islanding and load management of microgrids based on the proposed concept.

[1]  Yang Wei-we,et al.  A Review on , 2008 .

[2]  Gevork B. Gharehpetian,et al.  Incomplete information-based decentralized cooperative control strategy for distributed energy resources of VSI-based microgrids , 2013, Neural Computing and Applications.

[3]  Joydeep Mitra,et al.  A decentralized control architecture for a microgrid with power electronic interfaces , 2010, North American Power Symposium 2010.

[4]  Da-wei Hao,et al.  Multi-agent-system-based decentralized coordinated control for large power systems , 2014 .

[5]  Thomas J. Overbye,et al.  A Control Framework for the Smart Grid for Voltage Support Using Agent-Based Technologies , 2011, IEEE Transactions on Smart Grid.

[6]  K.T.M.U. Hemapala,et al.  A review on multi-agent systems in microgrid applications , 2011, ISGT2011-India.

[7]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[8]  Jin-Ding Cai,et al.  A multi-agent system for distributed energy resources control in microgrid , 2010, 2010 5th International Conference on Critical Infrastructure (CRIS).

[9]  Dong Liu,et al.  A distributed fault localization, isolation and supply restoration algorithm based on local topology , 2015 .

[10]  Hak-Man Kim,et al.  Distributed Load-Shedding System for Agent-Based Autonomous Microgrid Operations , 2014 .

[11]  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.

[12]  Wolfgang Ketter,et al.  A reinforcement learning approach to autonomous decision-making in smart electricity markets , 2013, Machine Learning.

[13]  Wenxin Liu,et al.  Novel Multiagent Based Load Restoration Algorithm for Microgrids , 2011, IEEE Transactions on Smart Grid.

[14]  Niannian Cai,et al.  A multi-level control architecture for master-slave organized microgrids with power electronic interfaces , 2014 .

[15]  Christian Rehtanz,et al.  A Multiagent System for Adaptive Power Flow Control in Electrical Transmission Systems , 2014, IEEE Transactions on Industrial Informatics.

[16]  Ali Feliachi,et al.  Hybrid multi agent approach for power distribution system restoration , 2013, 2013 IEEE Energytech.

[17]  A. Davoudi,et al.  Interfacing Issues in Multiagent Simulation for Smart Grid Applications , 2013, IEEE Transactions on Power Delivery.

[18]  R.H. Lasseter,et al.  Microgrid: a conceptual solution , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[19]  Gevork B. Gharehpetian,et al.  Game-theoretic approach to cooperative control of distributed energy resources in islanded microgrid considering voltage and frequency stability , 2013, Neural Computing and Applications.

[20]  G. Uvaraj,et al.  Application of Multi Agent System , 2013 .

[21]  Suryanarayana Doolla,et al.  Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids , 2013, IEEE Transactions on Industrial Electronics.

[22]  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.

[23]  Salman Kahrobaee,et al.  A Multiagent Modeling and Investigation of Smart Homes With Power Generation, Storage, and Trading Features , 2013, IEEE Transactions on Smart Grid.

[24]  Bin Liu,et al.  Multi-Agent Based Hierarchical Hybrid Control for Smart Microgrid , 2013, IEEE Transactions on Smart Grid.

[25]  Jianhui Wang,et al.  Smart Transmission Grid: Vision and Framework , 2010, IEEE Transactions on Smart Grid.

[26]  Salman Kahrobaee,et al.  Multiagent study of smart grid customers with neighborhood electricity trading , 2014 .

[27]  Zhang Jian,et al.  The application of multi agent system in microgrid coordination control , 2009, 2009 International Conference on Sustainable Power Generation and Supply.

[28]  R. A. R. C. Gopura,et al.  Dual layered multi agent system for intentional islanding operation of microgrids , 2012 .

[29]  Michael Wooldridge,et al.  The Belief-Desire-Intention Model of Agency , 1998, ATAL.

[30]  Khosrow Moslehi,et al.  A Reliability Perspective of the Smart Grid , 2010, IEEE Transactions on Smart Grid.

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

[32]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.