What is it about?

This paper takes into consideration a problem that commonly occurs at the design stage of underground cable lines and that relates to the manner of determining the optimal values for dimensions of cable trench and bedding, interaxial spacings between power cables in flat formation and cable ampacities. The problem is formulated as a nonlinear optimisation problem with constraints. The gravitational search algorithm (GSA), simulated annealing algorithm (SAA) and generalized pattern search algorithm (GPSA) are used to solve the problem. The optimal solutions are obtained based on the following three optimisation criteria: (i) minimisation of the total installation costs, i.e. the total costs for producing the cable trench, laying the bedding material, laying the backfill material and installing the cables, (ii) maximisation of the cable ampacity and (iii) a simultaneous application of the minimisation of the total installation costs and the maximisation of the cable ampacity. The constraints on design and control variables are introduced through penalty factors by means of which the objective function is expanded. The procedure is conducted taking into account the effect of drying out of the soil surrounding the cables.

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Why is it important?

• The GSA, SAA and GPSA are used for the first time for the optimization of cables laid in a plane. • A nonlinear optimization problem with constraints is discussed. • Optimal solutions are obtained based on three different optimization criteria. • The effect of drying out of the surrounding soils is taken into account. • Engineering and economic benefits are analyzed and quantified.

Perspectives

Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article will lead to applications of the GSA, SAA and GPSA to the optimization of the thermal environment and the ampacity of other underground cable lines.

Dardan Klimenta
University of Pristina in Kosovska Mitrovica, Faculty of Technical Sciences

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This page is a summary of: Optimising the thermal environment and the ampacity of underground power cables using the gravitational search algorithm, IET Generation Transmission & Distribution, January 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-gtd.2017.0954.
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