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.

Abstract

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.

References

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Published
2018-04-15
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). https://doi.org/https://doi.org/10.33130/asian%20journals.v4iI.481
Section
Electrical & Electronics Engineering