Optimal Placement of Substations Based on Economic and Technical Risk Management

International Journal of Smart Electrical Engineering

مقاله 1، دوره 02، شماره 1، فروردین 2013، صفحه 1-9   

نویسندگان

Amir Navakhah¹؛ MahmoudReza Haghifam²؛ Soudabe Soleymani¹

¹Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

²Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.

چکیده

Design and expansion of distribution systems seems inevitable in view of the need to satisfy the rise in energy consumption in a technical and economical way. Optimal location, sizing and determining the service area of substations is one of the principle problems in expansion of distribution systems. Also uncertainty is one of the important factors that increase risk of exact decision makings. This paper presents a fuzzy multi-objective model for HV/MV substations planning so that uncertainties are modeled using fuzzy numbers (trapezoidal form). The proposed fuzzy model is based on the risk of economic and technical objectives as well as fuzzy values of investment, operation and loss cost of the substations and primary feeders. This model determines the optimal time, location and size of substations using a multi-objective genetic algorithm (NSGA-II). The proposed model is applied on a typical distribution system to assess the efficiency of the approach.

کلیدواژه‌ها

Optimal locating؛ substation؛ risk management؛ Non-Dominated sort genetic algorithm

مراجع

[1]

X. Wang, J. R. McDonald, “Modern Power System Planning”, MCGRAW-HILL publication,1994.

[2]

U.G.W.Knight, “The logical design of electrical networks using linear programming methods”, proc. Inst. Elect. Eng. A, vol.107, pp.306-316, 1960.

[3]

Oldfield. J.Vand Lang. M.A, “Dynamic programming network flow procedure for distribution system planning”, in proc. Power industry computer applications conf., 1965.

[4]

R. N. Adams and M. A. Laughton, “Optimal planning of power networks using mixed integer programming”, Proc. IEEE, vol. 121, no. 2, pp.139–147, Feb. 1974.

[5]

D. M. Crawford and S. B. Holt, “A mathematical optimization technique for locating and sizing distribution substations and deriving their optimal service areas”, IEEE Trans. Power App. Syst. vol.PAS-94, no. 2, pp. 230–235, Apr. 1975.

[6]

E. Masud, “An iterative procedure for sizing and timing distribution substations using optimization techniques”, in Proc. IEEE PES Winter Meeting, pp.1281–1286, Feb.1974.

[7]

T. Gönen and B. L. Foote, “Distribution system planning using mixed integer programming”, Proc. Inst. Elect. Eng, vol. 128, no. 2, pp. 70–79, Mar. 1981.

[8]

M. J. Carson and G. Cornfield, “Design of low voltage distribution networks”, Proc. IEEE, Vol.120, No. 5, pp. 585–

International Journal of Smart Electrical Engineering, Vol.2, No.1, Winter 2013 ISSN: 2251-9246

9

593, May 1973.

[9]

M. J. Carson and G. Cornfield, “Computer aided design of low-voltage distribution networks”, in Proc. IEE Computer Aided Design Conf, Vol.86, pp. 121–124, 1972.

[10]

T. Belgin, “Distribution system planning using mixed integer programming”, ELEKTRIK, Vol.6, No.1, pp. 37–48, 1998.

[11]

M. R. Haghifam and M. Shahabi, “Optimal location and sizing of HV/MV substation in uncertainty load environment using genetic algorithm”, Elect.Power Syst. Res, Vol.63, pp.37–50, 2002.

[12]

M. H. Sepasian, H. Seifi, A. A. Foroud, S. H. Hosseiniand E. M. Kabir, “A new approach for substation expansionplanning”, IEEE Trans. Power Syst, vol. 21, no. 2, pp. 997–1004,May 2006.

[13]

S. Najafi, S.H. Hosseinian, M. Abedi, A. Vahidnia and S.Abachezadeh, “A framework for optimal planning in largedistribution networks”, IEEE Trans. Power Syst, vol. 24, no. 2,2009.

[14]

T.H.M. El-Fouly, H.H. Zeineldin, E.F. El-Saadany andM.M.A. Salama, “A new optimization model for distributionsubstation sitting, sizing, and timing”, Electric Power SystemsResearch, vol. 30, pp. 308-315, 2008.

[15]

A. Mantawy and M. Al-Muhaini, “A new particle swarmbasedalgorithm for distribution system expansion planning includinggeneration”, Proceedings 2nd Iasme/Wseas Int. Conf. on Energy &Environment, Jun 2008.

[16]

A. Hajizadeh and H. Hajizadeh, “PSO-based planning ofdistri-bution systems with distributed generations,” World Academyof Science, Engineering and Technology 45, 2008.

[17]

J. F. Gomez, P. M. De Oliveira, L. Ocque J. M. Yusta R.Villasana, H.M. Khodr and A. J. Urdaneta, “Ant colony system algorithm for the planning of primary distribution circuits”, IEEE Trans. Power Syst., Vol.19, pp.996–1004, May. 2004.

[18]

J.M. Alvarado, E.V. Alvarado, M.A. Arévalo, S.P. Quituisaca, J.F. Gomez and P.M. De Oliveira-De Jesus, “Ant colony systems application for electric distribution network

planning”, IEEE 15th International Conference on Intelligent System Applications to Power Systems, 2009.

[19]

H. K. Temraz, M.M.A. Salama, “A planning model for sitting, sizing and timing of distribution substations and defining the associated service area”, Electric Power Systems Research 62, pp.145-151, 2002.

[20]

K. Aoki, K. Nara, T. Satoh, M. Kitagawa and K. Yamanaka, “New approximate method for distribution system planning”, IEEE Transactions on power systems, Vol.5, No.1, pp.126-132, 1990.

[21]

K. Yahav and G. Oron, “Optimal location of electrical substation in regional energy supply systems”, in Proc. IEEE EEIS, Jerusalem, Israel, pp. 307–310, Nov, 1996.

[22]

D. E. Bouchard, M. M. A. Salama and A. Y.Chilchani, “Optimal feeder routing and optimal substation sizing and placement using guided evolutionary simulated annealing”, in Proc. IEEECCECE, 1995, pp. 684–691.

[23]

D. Hongwei, Y. Yixin and H. Chunhuaetal, “Optimal planning of distribution substation locations and sizes-model and algorithm”, Elect. Power Energy Syst., Vol.18, No.6, pp.343–357, 1996.

[24]

M. R. Haghifam, H.Falaghi, O. P. Malik “ Risk-based distributed generation placement”, IET Generation Transmission and Distribution, Vol.2, No.2, pp.252–260, 2008.

[25]

D. S. Popovic, Z. N.Popovic,”A risk management procedure for supply restoration in distribution networks”, IEEE Transactions on Power Systems, Vol.19, No.1, pp.221–228, 2008.

[26]

Goldberg, E. David, ”Genetic Algorithms in search, optimization, and machine learning”, Addison-wesley, 1989.