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Economic analysis of isolator placement in the radial network for enhancement of reliability indicators

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Abstract

This paper introduces an innovative approach that significantly enhances the reliability indices of the radial distribution system, thereby effectively upgrading its overall performance. The optimal location and number of isolators in the electrical distribution network are determined using a metaheuristic algorithm, such as the genetic algorithm and particle swarm optimization approaches. The product of the system's annual outage length and the total number of consumers affected is used to frame the problem within the restrictions of the ideal number of switches and the need for a power supply that can meet consumer requests. The cost of energy not served (CENS) and system average interruption duration index (SAIDI) are reliability indicators that have been used to identify the root of the issue. The method has been put to the test on 59 and 34 load point systems, and the results demonstrate that the suggested method in the study is accepted. The GA and PSO are compared on 34 and 59 bus radial network and found that GA provide better result. The ENS and profit have been compared, and it is found GA provides superb result in both cases. It is also observed that the optimal number of isolators required in 59 bus system is 31 and 42 for GA and PSO, respectively. The application of the suggested technique for isolator placement in 59 bus radial network provides a reduction in SAIDI 45.6% and 43.97% from GA and PSO, respectively, it is also observed that reduction in ENS is 59.9% and 58.45% from GA and PSO, respectively. Diminution in ENS indicates that the final group of clients is happy with the quality of the service being rendered in their location.

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Data availability

The data have been utilized in this research paper can be available from the corresponding author upon reasonable request.

Abbreviations

GA:

Genetic algorithm

ENS:

Energy not served

SAIDI:

System average interruption duration index

SLDB:

Service line distribution box

T :

Transmission

D :

Distribution

MINLP:

Mixed integer nonlinear programming

DISCOM:

Distribution company

DG:

Distributed generation

SAIFI:

System average interruption frequency index

CAIDI:

Consumer average interruption duration index

fl:

Failure

yr:

Year

Hrs:

Hours

Int:

Interruptions

nt:

Total load points

ns:

Number of disturbed load points

DAS:

Distribution automation system

riso:

Isolator operation time

MIP:

Mixed integer programming

SS:

Sectionalizing switch

RCS:

Remote controlled switch

MILP:

Mixed integer linear programming

f t :

Failure rate of a particular load point t

r t :

Repair time of a particular load point t

f m :

Average failure rate

O m :

Average outage time

r m :

Average repair time

C t :

Total number of customers connected to load pint t

O t :

Yearly interruption time

L a ( t ) :

Total load connected to a load point t

P s :

Power supply

P D :

Total demand

λ t :

Failure rate of line

C u :

Number of customers connected at load point u

n b :

Total number of branches

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Funding

This work has not been supported or funded from any organization. Data used in this work can be available on request.

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  1. NIT Jamshedpur, Jamshedpur, 831014, Jharkhand, India

    Manish Kumar Madhav & Krishna Bihari Yadav

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  1. Manish Kumar Madhav
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  2. Krishna Bihari Yadav
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Author 1 wrote the main manuscript text, prepared figure, data evaluation , conceptualization. Author 2 reviewed the manuscript.

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Correspondence to Manish Kumar Madhav.

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Madhav, M.K., Yadav, K.B. Economic analysis of isolator placement in the radial network for enhancement of reliability indicators. Electr Eng 106, 891–904 (2024). https://doi.org/10.1007/s00202-023-02013-z

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