Abstract

Optical Ground Wire (OPGW) which has features of both communication channel and lightning-line has been widely used in the high-voltage transmission lines for more than a decade. The optimum use of OPGW cable is necessary to decrease final installation cost. Since OPGW cable wastage is an important key to increase project cost, so in this paper, the genetic algorithm is used to optimize OPGW cables length wastage for drumming purpose. All simulations are presented in user friendly environment as MATLAB/Graphical User Interface (GUI).

Highlights

  • Tavanir a generation and transmission power utility in Iran, which is one of the biggest power companies in Iran, has installed optical ground wire cables (OPGW) in their electrical network

  • In this paper the OPGW drumming process involved two aspects: the first is the selection of proper tower e.g. tension tower as dead-end to increase the reliability of the project and the second is the selection of optimal cable length to decrease cable wastage and total cost of project

  • If distance between two selected towers is too longer than delivery cable length, algorithm should select suspension tower based on these conditions: Ruling span ratio for suspension tower must be limited by threshold value

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Summary

Introduction

Tavanir a generation and transmission power utility in Iran, which is one of the biggest power companies in Iran, has installed optical ground wire cables (OPGW) in their electrical network. By combining the function of grounding and data communication into one cable, OPGW deployment considerably reduce the cost of overhead transmission system [2]. This expressway is used for automation of electrical network. In this paper the OPGW drumming process involved two aspects: the first is the selection of proper tower e.g. tension tower as dead-end to increase the reliability of the project and the second is the selection of optimal cable length to decrease cable wastage and total cost of project Both aspects considered carefully by genetic algorithm to determine optimum cable wastage value whiles the reliability of the system is satisfied

Genetic Algorithm
Proposed Algorithm
Simulation Results
Conclusions
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