Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids

Microgrid is a combination of distributed generators, storage systems, and controllable loads connected to low-voltage network that can operate either in grid-connected or in island mode. High penetration of power at distribution level creates such multiple microgrids. This paper proposes a two-level architecture for distributed-energy-resource management for multiple microgrids using multiagent systems. In order to match the buyers and sellers in the energy market, symmetrical assignment problem based on naíve auction algorithm is used. The developed mechanism allows the pool members such as generation agents, load agents, auction agents, grid agents, and storage agents to participate in market. Three different scenarios are identified based on the supply-demand mismatch among the participating microgrids. At the end of this paper, two case studies are presented with two and four interconnected microgrids participating in the market. Simulation results clearly indicate that the agent-based management is effective in resource management among multiple microgrids economically and profitably.

[1]  Suryanarayana Doolla,et al.  Demand response in smart microgrids , 2011, ISGT2011-India.

[2]  Thillainathan Logenthiran,et al.  Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system , 2011 .

[3]  M. Pipattanasomporn,et al.  Multi-agent systems in a distributed smart grid: Design and implementation , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[4]  Zhenhua Jiang,et al.  Agent-Based Control Framework for Distributed Energy Resources Microgrids , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[5]  Hiromi Yamamoto,et al.  Evaluation of CO2 free electricity trading market in Japan by multi-agent simulations , 2010 .

[6]  E.F. El-Saadany,et al.  Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization , 2010, IEEE Transactions on Power Systems.

[7]  Kazimierz Wilkosz A Multi-agent System Approach to Power System Topology Verification , 2007, IDEAL.

[8]  Mats Larsson,et al.  Active Management of Distributed Energy Resources Using Standardized Communications and Modern Information Technologies , 2009, IEEE Transactions on Industrial Electronics.

[9]  F. Blaabjerg,et al.  Distributed Generation: Toward a New Energy Paradigm , 2010, IEEE Industrial Electronics Magazine.

[10]  Marcelo Godoy Simões,et al.  Distributed Intelligent Energy Management System for a Single-Phase High-Frequency AC Microgrid , 2007, IEEE Transactions on Industrial Electronics.

[11]  Dimitri P. Bertsekas,et al.  A forward/reverse auction algorithm for asymmetric assignment problems , 1992, Comput. Optim. Appl..

[12]  T. Logenthiran,et al.  Multi-agent coordination for DER in MicroGrid , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[13]  Geoff Poulton,et al.  Performance of multi-agent coordination of distributed energy resources , 2007 .

[14]  Wu Jie,et al.  A multi-agent solution to energy management in hybrid renewable energy generation system , 2011 .

[15]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[16]  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.

[17]  Alexandre Oudalov,et al.  The Provision of Frequency Control Reserves From Multiple Microgrids , 2011, IEEE Transactions on Industrial Electronics.

[18]  M.E. Baran,et al.  A Multiagent-Based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders , 2007, IEEE Transactions on Power Systems.

[19]  Chung-Sheng Li,et al.  Fault detection, isolation and restoration using a multiagent-based Distribution Automation System , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[20]  David A. Cartes,et al.  An Intelligent Auction Scheme for Smart Grid Market Using a Hybrid Immune Algorithm , 2011, IEEE Transactions on Industrial Electronics.

[21]  Ira Rudowsky,et al.  Intelligent Agents , 2004, Commun. Assoc. Inf. Syst..

[22]  Bill Rose,et al.  Microgrids , 2018, Smart Grids.

[23]  Abder Koukam,et al.  Multi-agent systems for grid energy management: A short review , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[24]  Jeremy Lagorse,et al.  A multi-agent system for energy management of distributed power sources , 2010 .

[25]  Kenedy A. Greyson,et al.  Power System Contingency Analysis Using Multiagent Systems , 2009 .

[26]  M Castilla,et al.  Hierarchical Control of Intelligent Microgrids , 2010, IEEE Industrial Electronics Magazine.

[27]  Joydeep Mitra,et al.  Achieving the Smart Grid through customer-driven microgrids supported by energy storage , 2010, 2010 IEEE International Conference on Industrial Technology.

[28]  Bin Song,et al.  Multi-agent approach for service restoration of microgrid , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[29]  A.L. Dimeas,et al.  Operation of a multiagent system for microgrid control , 2005, IEEE Transactions on Power Systems.

[30]  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.

[31]  Xuesong Zhou,et al.  Hybrid operation control method for micro-grid based on MAS , 2010, 2010 IEEE International Conference on Progress in Informatics and Computing.