Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

The technology of Multi-Agent-System (MAS) has a lot of attractive qualities such as proactivity, flexibility, reactivity and sociality. It is extensively established as the technology platform for implementing efficient and effective processes of management and automation within a microgrid platform. This paper presents the design and development of the microgrid system using MATLAB-Simulink software with multi-agent system platform. The JAVA agent development framework (JADE) is used for implementing MAS software. MAS consist of the three agents are distributed energy source agent, load agent and control agent. The distributed agent used to monitor and control the power level of the different energy sources in the microgrid. The load agent used to monitor the power consumption level of the consumer. The control agent used to control the power flow from energy source to load and also used for restructuring the power network based on abnormality of the system. To test the effectiveness of the developed system, simulation studies are carried out for different operating conditions of the microgrid system. From the test result, the developed system outperform in all aspect.

Anahtar Kelimeler:

Distributed Energy Resource (DER), Distributed Control, Fault control, MACSimJX and JADE, Microgrid, Multi-Agent System (MAS)

Development of a Mas Based Distributed Intelligent Control and Fault Control Strategy for Microgrid

Keywords:

Distributed Energy Resource (DER), distributed control, fault control, MACSimJX and JADE, Multi-Agent System (MAS),

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[1] M. K. Kouluri and R. K. Pandey, “Intelligent agent based micro grid control,” in 2011 2nd International Conference on Intelligent Agent & Multi-Agent Systems, 2011, pp. 62–66.
[2] J. Mitra, S. B. Patra, and S. J. Ranade, “Reliability stipulated microgrid architecture using particle swarm optimization,” in 2006 International Conference on Probabilistic Methods Applied to Power Systems, 2006, pp. 1–7.
[3] A. Bidram, A. Davoudi, F. L. Lewis, and Z. Qu, “Secondary control of microgrids based on distributed cooperative control of multi-agent systems,” IET Gener. Transm. Distrib., vol. 7, no. 8, pp. 822–831, 2013.
[4] H. Kanchev, D. Lu, F. Colas, V. Lazarov, and B. Francois, “Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications,” IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4583–4592, 2011.
[5] D. E. Olivares et al., “Trends in microgrid control,” IEEE Trans. Smart Grid, vol. 5, no. 4, pp. 1905–1919, 2014.
[6] S. Calderwood, W. Liu, J. Hong, and M. Loughlin, “An Architecture of a Multi-Agent System for SCADA-dealing with uncertainty, plans and actions,” 2013.
[7] T. Ackermann, G. Andersson, and L. Söder, “Distributed generation: a definition,” Electr. power Syst. Res., vol. 57, no. 3, pp. 195–204, 2001.
[8] N. R. Jennings and M. Wooldridge, “Applications of intelligent agents,” in Agent technology, Springer, 1998, pp. 3–28.
[9] M. Wooldridge and N. R. Jennings, “Intelligent agents: Theory and practice,” Knowl. Eng. Rev., vol. 10, no. 2, pp. 115–152, 1995.
[10] F. Bellifemine, G. Poggi, and A. Jade, “A fipa-compliant agent framework,” Univ. Maryl., 1995.
[11] R. Trillo, S. Ilarri, and E. Mena, “Comparison and performance evaluation of mobile agent platforms,” in Third International Conference on Autonomic and Autonomous Systems (ICAS’07), 2007, p. 41.
[12] L. Raju, M. Sakaya, and S. Mahadevan, “Implementation of energy management and demand side management of a solar microgrid using a hybrid platform,” Turkish J. Electr. Eng. Comput. Sci., vol. 25, no. 3, pp. 2219–2231, 2017.
[13] A. Singh, D. Juneja, and A. K. Sharma, “Agent development toolkits,” arXiv Prepr. arXiv1111.5930, 2011.
[14] F. L. Bellifemine, G. Caire, and D. Greenwood, Developing multi-agent systems with JADE, vol. 7. John Wiley & Sons, 2007.
[15] H. N. Aung, A. M. Khambadkone, D. Srinivasan, and T. Logenthiran, “Agent-based intelligent control for real-time operation of a microgrid,” in 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India, 2010, pp. 1–6.
[16] L. Raju, R. S. Milton, and S. Mahadevan, “Multi agent systems based distributed control and automation of micro-grid using MACSimJX,” in 2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016, pp. 1–6.
[17] N. Cai and J. Mitra, “A decentralized control architecture for a microgrid with power electronic interfaces,” in North American Power Symposium 2010, 2010, pp. 1–8.
[18] A. S. Kalagasidis, P. Weitzmann, T. R. Nielsen, R. Peuhkuri, C.-E. Hagentoft, and C. Rode, “The international building physics toolbox in Simulink,” Energy Build., vol. 39, no. 6, pp. 665–674, 2007.
[19] P. Mendham and T. Clarke, “Macsim: A simulink enabled environment for multi-agent system simulation,” IFAC Proc. Vol., vol. 38, no. 1, pp. 325–329, 2005.
[20] C. R. Robinson, P. Mendham, and T. Clarke, “MACSimJX: A tool for enabling agent modelling with Simulink using JADE,” 2010.