EPE  Vol.4 No.4 , July 2012
TCP/IP Based Intelligent Load Management System in Micro-Grids Network Using MATLAB/Simulink
Abstract: Computerized power management system with fast and optimal communication network overcomes all major dicrepencies of undue or inadequate load relief that were present in old conventional systems. This paper presents the basic perception and methodology of modern and true intelligent load management scheme in micro grids topology by employing TCP/IP protocol for fast and intelligent switching. The network understudy performs load management and power distribution intelligently in a unified network. Generated power is efficiently distributed among local loads through fast communication system of server in the form of source and clients in the form of loads through TCP/IP. The efficient use of information between server and clients enables to astutely control the load management in a power system of micro grids system. The processing time of above stated system comes out to be 10ms faster than others which ensure very less delay as compared to conventional methods. The Micro Grids system operating through TCP/IP control has been implemented in MATLAB/Simulink and results have been verified.
Cite this paper: M. Ali, M. Zakariya, M. Asif and A. Ullah, "TCP/IP Based Intelligent Load Management System in Micro-Grids Network Using MATLAB/Simulink," Energy and Power Engineering, Vol. 4 No. 4, 2012, pp. 283-289. doi: 10.4236/epe.2012.44038.

[1]   F. Shookh and J. J. Dai, “An ILS System Application in Large Industrial Facility,” IAS 2005.

[2]   L. H. Fink, D. E. Badley, J. E. Koehler, D. A. McInnis, and J. J. Redmond, “Emergency Control Practices,” Transactions on PAS, Vol. 104, 1985, pp. 2336-2441.

[3]   North American Electric Reliability Council, “1988: System Disturbance,” NERC Report, 1989.

[4]   L. O. Barthold, “Technical Limits to Transmission System Operation,” EPRI EL-5859, Final Report, 1988.

[5]   A. Maiorano, R. Sbrizzai, F. Torelli and M. Trovato, “Intelligent Load Shedding Schemes for Industrial Customers with Cogeneration Facilities,” Power Engineering Society 1999 Winter Meeting, IEEE, Vol. 2, 1999, pp. 925- 930.

[6]   D. Novosel and R. L. King, “Using Artificial Neural Networks for Load Shedding to Alleviate Overloaded Lines,” IEEE Transactions on Power Delivery, Vol. 9, No. 1, 1994, pp. 425-433. doi:10.1109/61.277714

[7]   L. J. Shih, W. J. Lee, J. C. Gu and Y. H. Moon, “Application of df/dt in Power System Protection and Its Implementation in Micro Controller Based Intelligent Load Shedding Relay,” Industrial and Commercial Power Systems Technical Conference, Memphis, 6-9 May 1991.

[8]   W. Lee and J. C. Gu, “A Micro Computer-Based Intelligent Load Shedding Relay,” IEEE Transactions on Power Delivery, Vol. 4, No. 4, 1989, pp. 2018-2024. doi:10.1109/61.35626

[9]   System Protection Schemes in Power Networks, CIGRE Technical Report No. 187, 2001.

[10]   C. W. Taylor, “Power System Voltage Stability,” 1994, Undervoltage Load Shedding Guidelines, Western Electricity Coordinating Council, Salt Lake City, 1999.

[11]   M. M. Adibi and D. K. Thome, “Local Load Shedding,”, IEEE Transaction on PWRS, Vol. 3, No. 3, 1988, pp. 1220-1229.

[12]   K.-H. Mak and B. Holland, “Migrating Electric power networks from SCADA to TCP/IP,” Power Engineering Journal, Vol. 16, No. 6, 2002, pp. 305-331. doi:10.1049/pe:20020604

[13]   Micro Grids Workgroup, “Large Scale Integration of Micro Generation to Low Voltage Grids Target Action 1: Annex 1,” Description of Work, Athens, 2002.

[14]   D. Pudjianto and G. Strbac, “Investigation of Regulatory, Commercial, Economic and Environmental Issues in Micro Grids,” EU Research Project 2002-2006.

[15]   R. H. Lasseter, “Control and Design of Micro Grid Components,” PSERC Final Report, 2007.