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Computational Intelligence: Theories, Applications and Future Directions - Volume II pp 501–518Cite as

Inspection–Repair-Based Availability Optimization of Distribution System Using Bare Bones Particle Swarm Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 799))

Abstract

Maintenance is the crucial part for any engineering systems. The performance of engineering systems can be improved by proper maintenance at proper interval of time. Maintenance at proper interval of time is required for the distribution system which is an important subsystem of the power system, to enhance its efficiency and its proper utilization by the customers. In view of the above, in this paper bare bones PSO (BBPSO)-based technique is developed for optimizing inspection- and repair-based availability of distribution systems. The technique is proposed for evaluating the optimum time duration between two inspections of the distribution system with respect to cost function. The result obtained by BBPSO is compared with results of different variants of PSO such as basic particle swarm optimization (PSO), evolutionary particle swarm optimization (EPSO), and adaptive particle swarm optimization (APSO). Radial and meshed distribution systems were used for implementing the above algorithm.

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Abbreviations

\( T_{cycle} \) :

cycle time

\( t_{in} \) :

inspection duration

\( t_{ert} \) :

repair time expected after the inspection

\( \tau_{d} \) :

period between inspections

\( c_{i} \) :

cost coefficient for ith section

\( \tau_{i} \) :

interval between two inspection–repair for ith section

NC :

number of sections

NLP :

load points total number

\( U_{k} \) :

kth load point unavailability

\( U_{d - k} \) :

unavailability threshold value at kth load point

\( A_{K} \) :

kth load point availability

\( A(\tau_{d} ) \) :

availability for each section

\( t_{dn} \) :

downtime

\( t_{repair} \) :

repair time

\( R(\tau_{d} ) \) :

reliability function

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Authors and Affiliations

  1. Electrical & Electronics Engineering Department, Institute of Engineering & Science, IPS Academy, Indore, India

    Aditya Tiwary

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  1. Aditya Tiwary
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Correspondence to Aditya Tiwary .

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Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

  2. Department of Aerospace Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    A. K. Ghosh

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Tiwary, A. (2019). Inspection–Repair-Based Availability Optimization of Distribution System Using Bare Bones Particle Swarm Optimization. In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume II. Advances in Intelligent Systems and Computing, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-13-1135-2_38

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