Reliability and Supply Security based Method for Simultaneous Placement of Sectionalizer Switch and DER Units

Document Type : Research paper

Authors

1 Young Researcher and Elite Club, Germi Branch, Islamic Azad University, Germi, Iran.

2 Department of Electrical Engineering, Payame Noor University, PO. Box 19395-3697. Tehran, Iran

3 Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran

Abstract

This paper presents a new and useful methodology for simultaneous allocation of sectionalizer switches and distributed energy resources (DERs) considering both reliability and supply security aspects. The proposed algorithm defines the proper locations of sectionalizer switching devices in radial distribution networks considering the effect of DER units in the presented cost function and other optimization constraints such as providing the maximum number of costumers to be supplied by DER units in islanded distribution systems after possible outages. In this paper, the main goal of cost function is to minimize the total cost of expected energy not supplied (EENS) with regard to impacts of load priority and optimum load shedding in the both grid connected and islanding states after possible outages. The proposed method is simulated and tested on a case study system in both cases of with DER and non DER situations. Also, this paper evaluates the number and amount of DER, switch and different DER penetration percentage effects in cost function value.  For solving of mentioned problem, this paper uses a new and strong method based on imperialist competitive algorithm (ICA).  Simulation and numerical results show the effectiveness of the proposed algorithm for placement of switch and DER units in the radial distribution network simultaneously.

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References

[1]     N. Saito, T. G. T. Heydt, “The next generation of power distribution systems,” IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 225-235, 2010.
[2]     N. Hatziargyriou, H. Asano, M. R. Iravani, C. Marnay, “Microgrids: An overview of ongoing research, development and demonstration projects,” IEEE Power Energy Mag., vol. 5, no. 4, pp. 78-94, 2007.
[3]     Z. T. Griffin, K. Tomsovic, D. Secrest, A. Law. “Placement of dispersed generation systems for reduced losses,” In Proc. of the 33rd annual Hawaii Int. Conf. Syst. Sci., pp. 1-9, 2000.
[4]     A. Keane, M. O’Malley, “Optimal allocation of embedded generation on distribution networks,” IEEE Trans. Power Syst., vol. 20, no. 3, pp. 1640-1646, 2005.
[5]     W. Caisheng, M.H Nehrir. “Analytical approaches for optimal placement of distributed generation sources in power systems,” IEEE Trans. Power Syst., vol.19, no. 4, pp. 2068-2076, 2004.
[6]     MF. AlHajri, ME. El-Hawary. “Optimal distribution generation sizing via fast sequential quadratic programming,” In Proc. of the large Eng. Syst. Conf. Power Eng.; pp. 63-66, 2007.
[7]     T.Q.D. Khoa, PTT. Binh, HB Tran. “Optimizing location and sizing of distributed generation in distribution systems,” In Proc. of the IEEE PES Power Syst. Conf. Expos., pp. 725-732, 2006.
[8]     G. Celli, E. Ghiani, S. Mocci, F. Pilo “A multi objective evolutionary algorithm for the sizing and sitting of distributed generation,” IEEE Trans. Power Syst., vol. 20, no. 2, pp. 750-757, 2005.
[9]     N. Khalesi, N. Rezaei, M.R. Haghifam. “DG allocation with application of dynamic programming for loss reduction and reliability improvement,” Int. J. Electr. Power Energy Syst., vol. 33, no. 2, pp. 288-295, 2011.
[10]  L. J. Powell, “An industrial view of utility cogeneration protection requirements,” IEEE Trans. Ind. Appl., vol. 24, no. 1, pp. 75-81, 1988.
[11]  M. Allahnoori, Sh. Kazemi, H. Abdi, R. Keyhani, “Reliability assessment of distribution systems in presence of microgrids considering uncertainty in generation and load demand,” J. Oper. Autom. Power Eng., vol. 2, no. 2, pp. 113-120, 2014.
[12]  H. Arasteh, M. S. Sepasian, V. Vahidinasab“ Toward a smart distribution system expansion planning by considering demand response resources,” J. Oper. Autom. Power Eng., vol. 3, no. 2, pp. 116-130, 2015.
[13]  H. Shayeghi, M. Alilou,“ Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network,” J. Oper. Autom. Power Eng., vol. 3, no. 2, pp. 131-146, 2015.
[14]  R. Billinton, S. Jonnavithula, “Optimal switching device placement in radial distribution systems,” IEEE Trans. Power Delivery, vol. 11, no. 3, pp. 1646-1651, 1996.
[15]  G. Celli, F. Pilo, “Optimal sectionalizing switches allocation in distribution networks,” IEEE Trans. Power Delivery, vol. 14, no. 3 pp. 1167-1172, 1999.
[16]  C. Chen, etc al. “Optimal placement of line switches for distribution automation systems using immune algorithm,” IEEE Trans. Power Syst., vol. 21, no. 3, pp. 1209-1216, 2006.
[17]  A. Moradi, M. Fotuhi-Firuzabad, “optimal switch placement in distribution systems using trinary particle swarm optimization algorithm,” IEEE Trans. Power Delivery, vol. 23, no. 1, pp. 271-279, 2008.
[18]  P. M. S. Carvalho,  L. A. F. M Ferreira, A. J. C. da Silva, “A decomposition approach to optimal remote controlled switch allocation in distribution systems,” IEEE Trans. Power Delivery, vol. 20, no. 2, pp. 1031-1036, 2005.
[19]  Y. Mao, K. N. Miu, “Switch placement to improve system reliability for radial distribution systems with distributed generation,” IEEE Trans. Power Syst., vol. 18, no. 4, pp. 1346-1352, 2003.
[20]  E. Atashpaz-Gargari, C. Lucas, “Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition”, In Proc. of the IEEE 2007 Congr. Evol. Comput., pp. 4661-4667, 2007.
[21]  E. Atashpaz Gargari, E. Hashemzadeh, F. Rajabioun, R. Lucas, “Colonial competitive algorithm: a novel approach for PID controller design in MIMO distillation column process,” Int. J. Intell. Comput. Cybern., vol. 1, no. 3, pp. 337-355, 2008.
Journal of Operation and Automation in Power Engineering
Volume 4, Issue 2
December 2016
Pages 165-174

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History

  • Receive Date: 04 July 2016
  • Revise Date: 25 December 2016
  • Accept Date: 25 December 2016

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