IJBTT

Allocation and Optimal Dimensioning of Distributed Generation Using Grey Wolf Optimized Cuckoo Search Algorithm

Allocation and Optimal Dimensioning of Distributed Generation Using Grey Wolf Optimized Cuckoo Search Algorithm
	© 2025 by IJETT Journal
	Volume-73 Issue-10
	Year of Publication : 2025
	Author : Ajit P Chaudhari, Gaurav B. Patil, Sandeep Ushkewar, Tukaram Gawali, Ashwini J. Patil
	DOI : 10.14445/22315381/IJETT-V73I10P110

How to Cite?
Ajit P Chaudhari, Gaurav B. Patil, Sandeep Ushkewar, Tukaram Gawali, Ashwini J. Patil,"Allocation and Optimal Dimensioning of Distributed Generation Using Grey Wolf Optimized Cuckoo Search Algorithm", International Journal of Engineering Trends and Technology, vol. 73, no. 10, pp.132-137, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I10P110

Abstract
Distributed Generation (DG) has become a complementary energy source for centralized generation, and it has gained a lot of space in distribution systems. In addition, the large plants involve high costs, large greenhouse gas emissions, and difficulty in obtaining environmental permits; these factors have also boosted the use of DG with renewable resources (wind, solar, and water). The core objective of this paper is to find an optimal solution for the dimensioning of Distributed Generation (DG) in distribution networks using a metaheuristic optimization technique. A novel algorithm, the grey wolf optimized cuckoo search algorithm, is used to obtain the low voltage connection between distribution transformers and end users. The DG units are coupled in the low-voltage distribution nodes, improving the voltage profiles and reducing the electrical losses generated by the existing distance of the conductors.

Keywords
Active power losses, Cuckoo Search algorithm, Distributed Generation, Grey Wolf Optimization.

References
[1] Noman Bashir et al., “Lifetime Maximization of Lead-Acid Batteries in Small Scale UPS and Distributed Generation Systems,” 2017 IEEE Manchester PowerTech, Manchester, UK, pp. 1-6, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Priyanka Chaudhary, and M. Rizwan, “Voltage Regulation Mitigation Techniques in Distribution System with High PV Penetration: A Review,” Renewable and Sustainable Energy Reviews, vol. 82, pp. 3279-3287, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Xibao Xu et al., “Unravelling the Effects of Large-Scale Ecological Programs on Ecological Rehabilitation of China’s Three Gorges Dam,” Journal of Cleaner Production, vol. 256, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Muntather Almusawi et al., “Chaotic Grey Wolf Optimization for Energy-Efficient Clustering and Routing in Wireless Sensor Networks,” 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, pp. 1-5, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[5] M. Naga Raju et al., “A New Optimization Approach Based on Firefly and Cuckoo Search Algorithm for Dynamic Multi-Objective Optimization Problem in Workflow Scheduling,” 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), Bengaluru, India, pp. 1-5, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] S. Lakshmikanth et al., “A Novel DC-DC Converter Design for Electric Vehicles Based on PID Control Optimized by a Hybrid Grey Wolf-Cuckoo Search Algorithm,” 2025 6th International Conference for Emerging Technology (INCET), Belgaum, India, pp. 1-8, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Wenxiao Wang et al., “Multi-UAV Path Planning Based on Grey Wolf-Cuckoo Composite Optimization Algorithm in Mountainous Environments,” 2025 40th Youth Academic Annual Conference of Chinese Association of Automation (YAC), Zhengzhou, China, pp. 689-693, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Hengyi Huang, “Research on Multi-UAV Track Planning by Improving Grey Wolf Fusion Cuckoo Algorithm,” 2024 9th International Conference on Robotics and Automation Engineering (ICRAE), Singapore, pp. 12-17, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Hua Fu, Zhaoliang Zhang, and Hui Zhang, “Research on Transformer Fault Diagnosis Based on GWO-CS Optimized SVM,” 2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP), Chengdu, China, pp. 278-281, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Ritika Tilwalia, Anisha Jain, and Deepak Gupta, “Optimization of Electricity Consumption using Grey Wolf Algorithm,” 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, pp. 401-407, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] G. Sreeramulu Mahesh et al., “An Optimized Filter Design with Cuckoo Search Algorithm for Industrial Microgrids,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), Karaikal, India, pp. 1-5, 2023.
[CrossRef] [Google Scholar] [Publisher Link]