Geometric programming technique to optimize power distribution system

R. R. Ota (), J. C. Pati () and A. K. Ojha ()
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R. R. Ota: Institute of Technical Education and Research
J. C. Pati: C.V. Raman College of Engineering
A. K. Ojha: IIT Bhubaneswar

OPSEARCH, 2019, vol. 56, issue 1, No 13, 282-299

Abstract: Abstract Geometric programming is an important tool for solving certain optimization problems. In this paper, multi objective geometric programming with $$\epsilon $$ ϵ -constraint method is used to find the maximum radius of a circular power supply substation to supply power in a particular region. The main aim of the proposed method is to formulate a mathematical model for the efficient distribution of the power supply to maximum area from a circular substation with least investment and minimum waste. The proposed multi-objective optimization model has been solved to generate Pareto optimal solutions using weighted sum method. The results so obtained have been compared with that of $$\epsilon $$ ϵ -constraint method by considering suitable numerical examples.

Keywords: Geometric programming; Duality; $$\epsilon $$ ϵ -Constraint method; Weighted method; Pareto solution; Radius of power supply; Optimization (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s12597-019-00363-6

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