Optimization of Distributed Generation Planning to Maximize the Absorption Rate of Renewable Energy in Distribution Networks

Authors

  • Trieu Ngoc Ton Ton Ngoc Trieu
  • Hai Hoang Lai Thu Duc College of Technology, Ho Chi Minh City, Vietnam
  • Loi Van Pham Thu Duc College of Technology, Ho Chi Minh City, Vietnam
  • Tuyen Ngoc Hoang Thu Duc College of Technology, Ho Chi Minh City, Vietnam
Volume: 15 | Issue: 3 | Pages: 23008-23013 | June 2025 | https://doi.org/10.48084/etasr.10921

Received: 12 March 2025 | Revised: 4 April 2025 | Accepted: 9 April 2025 | Online: 4 June 2025


Corresponding author: Trieu Ngoc Ton

Abstract

This paper presents a multi-objective optimization approach for optimal Distributed Generation (DG) placement and sizing, optimizing power loss reduction, cost efficiency, voltage stability, and Renewable Energy Source (RES) absorption. The Gray Wolf Optimizer (GWO) was chosen for its strong global search, fast convergence, and ability to avoid local optima. Simulations on IEEE 33-bus and IEEE 69-bus systems compared GWO against the Cuckoo Search Algorithm (CSA), Multi-Objective Particle Swarm Optimization (MOPSO), and Genetic Algorithm (GA). The results showed that GWO achieved the least power loss and highest RES absorption, enhancing efficiency, stability, and sustainability. This study demonstrates the effectiveness of nature-inspired optimization in DG planning and RES integration.

Keywords:

distributed generation, renewable energy absorption, multi-objective optimization, grey wolf optimizer, distribution network

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How to Cite

[1]
Ton, T.N., Lai, H.H., Pham, L.V. and Hoang, T.N. 2025. Optimization of Distributed Generation Planning to Maximize the Absorption Rate of Renewable Energy in Distribution Networks. Engineering, Technology & Applied Science Research. 15, 3 (Jun. 2025), 23008–23013. DOI:https://doi.org/10.48084/etasr.10921.

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Copyright (c) 2025 Ngoc Ton Trieu, Hai Hoang Lai, Loi Van Pham, Tuyen Ngoc Hoang, Loc Huu Pham

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