International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

V. Shanmugasundaram1, G. Srinivasan2*, M. Lavanya3

1 Department of Electrical & Electronics Engineering, SONA College of Technology, SALEM-636005, Tamilnadu, India

2 Department of Electrical and Electronics Engineering, Thamirabharani Engineering College, Chatrirampudukulam (V), Thatchanallur, TIRUNELVELI – 627358, Tamilnadu, India

3 Department of Mechatronics Engineering, SONA College of Technology, SALEM-636005, India

 

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ABSTRACT

Utilities have been forced to raise the overall efficiency towards a better position in radial distribution systems (DS). From the literature, it has been proved that reactive power compensation performs well in minimizing the PLoss and enhancing the bus voltage profile within the permissible range in radial DSs. This work presents the salp swarm algorithm (SSA) to solve the problem efficiently. The merit of this technique is that it can offer a global or near-global optimum for capacitor siting and sizing. The main intention of this study is to obtain annual financial benefits using the placement and sizing of capacitors optimally. This can however be achieved by minimizing the objective function composed of cost-based power loss and capacitor cost on radial DS considering three different load levels. The proposed technique has been tested on standard IEEE 69 and modified 12 bus systems. Computational results are compared with the results obtained by the previous published work and proved that SSA can minimize the PLoss more effectively thereby financial benefit.


Keywords: Capacitor siting and sizing, Radial distribution system, Power loss minimization, Annual financial benefit, Salp swarm algorithm (SSA).


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ARTICLE INFORMATION

Received: 2020-10-30
Revised: 2022-04-29
Accepted: 2023-03-23
Available Online: 2023-07-11


Cite this article:

Shanmugasundaram, V., Srinivasan, G., Lavanya, M. 2023. Salp swarm algorithm applied to optimal capacitor allocation problem in distribution network for annual cost savings. International Journal of Applied Science and Engineering, 20, 2020276.  https://doi.org/10.6703/IJASE.202309_20(3).001

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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