Research Article |
Optimizing Capacitor Placement in Distribution Systems Under Variable Loading Conditions with Golden Jack Optimization (GJO)
Author(s): N Madhusudhan Reddy*, Dr. T. Vamsee Kiran, I Kranthi Kumar, Karri Ravikumar Reddy, Chodagam Srinivasand K Divya
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 2
Publisher : FOREX Publication
Published : 03 April 2024
e-ISSN : 2347-470X
Page(s) : 338-344
Abstract
In modern society, the demand for electricity is ever-growing, making the minimization of power losses in distribution systems paramount. One significant aspect contributing to these losses is the strategic placement of capacitors within the distribution network. Efficient capacitor placement not only reduces power losses but also enhances the overall performance and reliability of the system. In today's world, where electricity is indispensable, minimizing power losses in the distribution system holds significant importance. This research introduces the Golden Jack Optimization (GJO) algorithm as a novel approach to address the challenge of capacitor placement in distribution systems. GJO, inspired by the foraging behavior of jackals, exhibits unique characteristics such as adaptability and efficiency in finding optimal solutions this paper proposes an innovative algorithm specifically designed for this purpose. To validate the effectiveness of the algorithm, extensive testing and experimentation have been conducted on the IEEE 69-bus system. This study aims to provide a practical and efficient solution to the challenge of power loss reduction within distribution systems. By harnessing the power of GJO and the insights gained from testing on the IEEE 69-bus system, we contribute to the ongoing efforts to enhance the efficiency and sustainability of electricity distribution networks. The results are compared with MPSO, TSM, GA-Fuzzy algorithms and proposed algorithm shows superior performance.
Keywords: Capacitor Bank
, Distribution System
, Golden Jack Optimization
, Loss Reduction
.
N Madhusudhan Reddy*, Department of Electrical & Electronics Engineering, Sri Vasavi Engineering College, Tadepalligudem, Andhra Pradesh, India
Dr. T. Vamsee Kiran, Department of Electrical & Electronics Engineering, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India
I Kranthi Kumar, Department of Electrical & Electronics Engineering, SRKR Engineering College, Andhra Pradesh, India
Karri Ravikumar Reddy, Department of Electrical & Electronics Engineering, Aditya College of Engineering & Technology, Andhra Pradesh, India
Chodagam Srinivas, Department of Electrical & Electronics Engineering, Madanapalle Institute of Technology & Science, Andhra Pradesh, India
K Divya, Department of Electrical & Electronics Engineering, Karpagam Institute of Technology, Coimbatore
-
[1] Sneha Sultana, Provas Kumar Roy, "Optimal capacitor placement in radial distribution systems using teaching learning based optimization", International Journal of Electrical Power & Energy Systems, Volume 54, 2014, Pages 387-398, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2013.07.011. [CrossRef]
-
[2] N. Gnanasekaran, S. Chandramohan, P. Sathish Kumar, A. Mohamed Imran, "Optimal placement of capacitors in radial distribution system using shark smell optimization algorithm", Ain Shams Engineering Journal, Volume 7, Issue 2, 2016, Pages 907-916, ISSN 2090-4479, https://doi.org/10.1016/j.asej.2016.01.006. [CrossRef]
-
[3] O. Ivanov, B. -C. Neagu, G. Grigoras and M. Gavrilas, "Capacitor Banks Placement Optimization Improvement Using the Sperm Whale Algorithm," 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Pitesti, Romania, 2019, pp. 1-4, doi: 10.1109/ECAI46879.2019.9042117. [CrossRef]
-
[4] K. Prakash and M. Sydulu, "Particle Swarm Optimization Based Capacitor Placement on Radial Distribution Systems," 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, USA, 2007, pp. 1-5, doi: 10.1109/PES.2007.386149. [CrossRef]
-
[5] Nitish Chopra, Muhammad Mohsin Ansari, "Golden jackal optimization: A novel nature-inspired optimizer for engineering applications", Expert Systems with Applications, Volume 198, 2022, 116924, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2022.116924. [CrossRef]
-
[6] Heba Askr, Mahmoud Abdel-Salam, Aboul Ella Hassanien, "Copula entropy-based golden jackal optimization algorithm for high-dimensional feature selection problems", Expert Systems with Applications, Volume 238, Part B, 2024, 121582, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.121582. [CrossRef]
-
[7] Mohamed A. Elseify, Fatma A. Hashim, Abdelazim G. Hussien, Salah Kamel, "Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multi-type DGs in distribution systems", Applied Energy, Volume 353, Part A, 2024, 122054, ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2023.122054. [CrossRef]
-
[8] Gampa, S.R. Optimum placement of shunt capacitors in a radial distribution system for substation power factor improvement using fuzzy GA method. Int. J. Electr. Power Energy Syst. 2016, 77, 314–326. [CrossRef]
-
[9] Tamilselvan, V. Optimal capacitor placement in radial distribution systems using flower pollination algorithm. Alex. Eng. J. 2018, 57, 2775–2786. [CrossRef]
-
[10] Tahir MJ, Rasheed MB, Rahmat MK. Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization. Energies. 2022; 15(7):2452. https://doi.org/10.3390/en15072452. [CrossRef]