Optimal placement of switching and protection devices in radial distribution networks to enhance system reliability using the AHP-PSO method

This paper presents a new method to determine the optimal number and locations of autorecloser and sectionalizer switches (AR/S) in distribution networks. The costs of AR/S investment, switch maintenance, and undistributed energy as well as reliability coefficients are considered in the objective function. Reliability parameters such as SAIFI, SADI, MAIFI, and ENS are evaluated in the case study system. As a new method, the weights of the reliability parameters are obtained by decision-makers using the analytical hierarchy process (AHP). The optimal size, type, and location of automatic switches are determined by minimizing the objective function using the particle swarm optimization (PSO) algorithm. The effectiveness of the proposed method is tested by implementing it on two feeders of Isfahan's electric distribution network. The results indicate the efficiency and applicability of the proposed method.

Keywords:

AHP analysis, reliability parameters, objective function, PSO algorithm autorecloser and sectionalizer switches, optimal placement,

PDF

___

Teng JH, Lu CN. Feeder-switch relocation for customer interruption cost minimization. IEEE T Power Deliver 2002; 17: 254-249.
Moradi A, Fotuhi-Firuzabad M, Rashidi-Nejad M. A reliability cost/worth approach to determine optimum switch- ing placement in distribution systems. In: IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific; 18 August 2005; Dalian, China.
Ranjan A, Rai JN. Optimal switch placement in radial distribution system using GA and PSO. Int J Engineer 2014; 5: 1356-1361.
Moradi A, Fotuhi-Firuzabad M. Optimal switch placement in distribution systems using trinary particle swarm optimization algorithm. IEEE T Power Deliver 2008; 23: 271-279.
Chen CS, Lin CH, Chuang HJ, Li CS, Huang MY, Huang CW. Optimal placement of line switches for distribution automation systems using immune algorithm. IEEE T Power Syst 2006; 21: 1209-1217.
Dezaki HH, Abyaneh HA, Mazlumi K, Yaghubinia MR, Zanganeh M. Protective and switching devices allocation according to total cost minimization by genetic algorithm in distribution systems. In: 7th International Conference on Electrical and Electronics Engineering; 1–4 December 2011; Bursa, Turkey.
Goel L, Billinton R. Evaluation of interrupted energy assessment rates in distribution systems. IEEE T Power Deliver 1991; 6: 1876-1882.
Abiri-Jahromi A, Fotuhi-Firuzabad M, Parvania M, Mosleh M. Optimized sectionalizing switch placement strategy in distribution systems. IEEE T Power Deliver 2012; 27: 362-370.
Dehghanian P, Fotuhi-Firuzabad M, Bagheri-Shouraki S, Kazemi AA. Critical component identification in reliability centered asset management of power distribution systems via fuzzy AHP. IEEE Syst J 2012; 6: 593-602.
Bernardon DP, Sperandio M, Garcia VJ, Canha LN, da Rosa Abaide A, Daza EF. AHP decision-making algorithm to allocate remotely controlled switches in distribution networks. IEEE T Power Deliver 2011; 26: 1884-1892.
Vahidnia A, Ledwich G, Ghosh A, Palmer E. An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG. In: 21st Australasian Universities Power Engineering Conference; 28–29 September 2011; Brisbane, Australia.
Siirto OK, Safdarian A, Lehtonen M, Fotuhi-Firuzabad M. Optimal distribution network automation considering earth fault events. IEEE T Smart Grid 2015; 6: 1010-1018.
Teng JH, Lu CN. Feeder-switch relocation for customer interruption cost minimization. IEEE T Power Deliver 2002; 17: 254-259.
Hashemi SM, Barati S, Talati S, Noori H. A genetic algorithm approach to optimal placement of switching and protective equipment on a distribution network. J Eng Appl Sci 2016; 11: 1395-1400.
Billinton R, Jonnavithula S. Optimal switching device placement in radial distribution systems. IEEE T Power Deliver 1996; 11: 1646-1651.
Lee KY, El-Sharkawi MA, editors. Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems. New York, NY, USA: Wiley, 2008.
Shrivastava C, Gupta M, Koshti A. Load flow analysis for radial distribution system using forward backward sweep method. J Electr Eng Technol 2015; 8: 51-58.
Sunisith S, Meena K. Backward/forward sweep based distribution load flow method. International Electrical Engi- neering Journal 2014; 5: 22-30.
Markushevich NS, Herejk IC, Nielsen RE. Functional requirements and cost-benefit study for distribution automa- tion at BC Hydro. In: Power Industry Computer Application Conference; 4–7 May 1993; Scottsdale, AZ, USA.
Saaty TL. The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. New York, NY, USA: McGraw. 1980.
Fotuhi-Firuzabad M, Rajabi-Ghahnavie A. An analytical method to consider DG impacts on distribution system reliability. In: IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific; 18 August 2005; Dalian, China.
Abdi S, Afshar K, Ahmadi S, Bigdeli N, Abdi M. Optimal recloser and autosectionalizer allocation in distribution networks using IPSO–Monte Carlo approach. Int J Elec Power 2014; 1: 602-611.
Javadian SA, Massaeli M. Impact of distributed generation on distribution systems reliability considering recloser- fuse miscoordination-a practical case study. Indian J Technol 2011; 4: 1279-1284.

Turkish Journal of Electrical Engineering and Computer Science-Cover

ISSN: 1300-0632
Yayın Aralığı: Yılda 6 Sayı
Yayıncı: TÜBİTAK

Arşiv