Optimal Placement and Sizing of Distribution Transformers of Existing Network using Genetic Algorithm and Simulated Annealing

  • Sunil Gaikwad
Keywords: Distribution Transformer, Optimization, Location, Genetic Algorithm, Simulated Annealing.


The major part of losses in power system is contributed by transmission lines and distribution transformers (DTs). Failure of DT causes sudden outage and it is expensive to repair. Its failure affects Industry and consumers. Study related to DT is one of the essential areas for distribution side. The proposed work addresses the cost function optimization considering investment, operational, maintenance, insurance and depreciation costs of urban distribution network. The Genetic Algorithm (GA) which is best suited for optimum search is applied to the existing network under study. The results of GA are compared with Simulated Annealing (SA) as both methods handle bound-constrained optimization problems satisfactorily.


[2] Dale M. Crawford, Stewart B. Holt, “ A mathematical optimization technique for locating and sizing distribution substations, and deriving their optimal service areas”, IEEE Transactions on Power Apparatus and Systems, vol. PAS-94, no. 2, March/April 1975. [3] Navpreet Singh Tung, Sandeep Chakravorty, “Optimized power distribution planning a review”, International journal of electronics and electrical engineering vol. 2, no. 4, december, 2014. [4] Hongwei Dai, Yixin Yu, Chunhua Huang,Chengshan Wang, Shaoyun Ge, “Optimal Planning of Distribution Substation Lacations and Sizes -- Model and Algorithm”, IEEE,TENCON'93 BEIJING, 1993, pp.351-354. [5] E. Masud, “An Interactive Procedure for Sizing and Timing Distribution Transformer Using Optimal Techniques”, IEEE Trans. PAS 93. pp.1281-1286 January 27-February 1, 1974, New York. [6] M.R. Haghifam, M. Shahabi, “Optimal location and sizing of HV/MV substations in uncertainly load environment using genetic algorithm”, Electric Power Systems Research 63 (2002) 37–50. [7] Crawford D.M., Holt Jr S.B., “A Mathematical Optimization Technique for locating and Sizing Distribution Substations, and Deriving their Optimal Service Areas”, IEEE Trans. PAS, 94, 2, 1975, pp.230-234. [8] Aoki K., Nara K., Satoh T., Kitagawa M., Yamanaka K., “New Aproximate Optimization Method for Distribution System Planning” , IEEE Trans.Power System, 5, 1, 1990, pp.126-132. [9] Miranda V., Ranito J.V., Proença L.M., “Genetic Algorithms in Optimal Multistage Distribution Network Planning”, IEEE Trans. Power System, 9, 4, 1994, pp.1927-1933. [10] Lin W.M., Su Y.S., Tsay M.T., Genetic Algorithm for Optimal Distribution System Planning, IEEE, 1998, pp.241-245. [11] Muhammad Humayun, Bruno Jorge Oliveira Sousa, Amir Safdarian, Mubbashir Ali, Merkebu Z. Degefa, Matti Lehtonen and Mahmud Fotuhi-Firuzabad, “ Optimal Capacity Management of Substation Transformers Over Long-Run”, IEEE Transactions on Power Systems, Vol.3, No.31, January 2016.
How to Cite
Gaikwad, S. (2018, April 15). Optimal Placement and Sizing of Distribution Transformers of Existing Network using Genetic Algorithm and Simulated Annealing. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). Retrieved from http://asianssr.org/index.php/ajct/article/view/481
Electrical & Electronics Engineering