Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Call For Paper : Vol 11, Issue 05, May 2024
Intelligent Energy Control Center for Distributed Generators Using Multi-Agent System

Author : K.C.Ramakrishnan 1 B.V.N. Bharathi 2

Date of Publication :1st December 2017

Abstract: This paper presents the modeling of intelligent energy control center (ECC) controlling distributed generators (DGs) using multi- agent system. Multi-agent system has been proposed to provide intelligent energy control and management in grids because of their benefits of extensibility, autonomy, reduced maintenance, etc. The multi -agent system constituting the smart grid and agents such as user agent, control agent, database agent, distributed energy resources (DER) agent work in collaboration to perform assigned tasks. The wind power generator connected with local load, the solar power connected with local load and the ECC controlled by fuzzy logic controller (FLC) are simulated in MATLAB/SIMULINK. The DER model is created in client and ECC is created in server. Communication between the server and the client is established using transmission control protocol/in- ternet protocol (TCP/IP). The results indicate that the controlling of DER agent can be achieved both from server and client.

Reference :

    1. T. Nagata and H. Sasaki, “A multi-agent approach to power system restoration,” IEEE Trans. Power Syst., vol. 17, no. 2, pp. 457–462, May 2002.
    2. T. A. Dimeas and N. D. Hatziargyriou, “Operation of a multiagent system for microgrid control,” IEEE Trans. Power Syst., vol. 20, no. 3, pp. 1447–1455, Aug. 2005.
    3. S. G. Ankaliki, “Energy control center functions for power system,” Int. J. Math. Sci., Technol., Humanities, vol. 2, no. 1, pp. 205– 212, 2012
    4. R. L. Krutz, Securing SCADA Systems. New York, NY, USA: Wiley, 2006.
    5. O. Castillo and P. melin, Studies in Fuzziness and Soft Computing Type2 Fuzzy Logic : Theory and Applications. New York, NY, USA: Springer-Verlag, 2008.
    6. A. J. Wood and B. F. Wollenberg, Power Generation, Operation, and Control, 2nd ed. New York, NY, USA: Wiley, 1994.
    7. C. S. Solanki, Solar Photovoltaics Fundamentals, Technologies and Applications, 2nd ed. Delhi, India: PHI Learning Private Ltd., 2011. [8] H. W. Dommel, Notes on Power System Analysis. Vancouver, BC, Canada: Univ. British Columbia, 1975. [9] Bailey and E. Wright, Practical SCADA for Industry. Oxford, U.K.: Newnes, 2003.
    8. E. Hammar, “Modeling the power distribution management process – Focusing on outage management,” Master's thesis, Royal Inst. Technol., Stockholm, Sweden, 2007.
    9. R. C. Dugan, T. E. McDermott, and G. J. Ball, “Planning for distributed generation,” IEEE Ind. Applicat. Mag, vol. 7, no. 2, pp. 80–88, Mar./ Apr. 2001.

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