Volume 20, Issue 3 (September 2024)                   IJEEE 2024, 20(3): 92-105 | Back to browse issues page

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Prakasa M A, Fuadi M I, Djalal M R, Robandi I, Putra D F U. Optimal Reconfiguration using Firefly Algorithm for Integrated Electrical Distribution Network with Distributed Generation, Case Study: 20 kV Tarahan Substation, Province of Bandar Lampung, Indonesia. IJEEE 2024; 20 (3) :92-105
URL: http://ijeee.iust.ac.ir/article-1-3282-en.html
Optimal Reconfiguration using Firefly Algorithm for Integrated Electrical Distribution Network with Distributed Generation, Case Study: 20 kV Tarahan Substation, Province of Bandar Lampung, Indonesia
Mohamad Almas Prakasa , Mohamad Idam Fuadi , Muhammad Ruswandi Djalal , Imam Robandi , Dimas Fajar Uman Putra
Abstract:   (750 Views)
The unbalanced load distribution in the electrical distribution network caused crucial power losses. This condition occurs in one of the electrical distribution networks, 20 kV Tarahan Substation, Province of Bandar Lampung, Indonesia. This condition can be maintained using optimal reconfiguration with the integration of Distributed Generation (DG) based on Renewable Energy (RE). This study demonstrates the optimal reconfiguration of the 20 kV Tarahan Substation with the integration of the Photovoltaic (PV) and Battery Energy Storage System (BESS). The reconfiguration process is optimized by using the Firefly Algorithm (FA). This process is conducted in the 24-hour simulation with various load profiles. The optimal reconfiguration is investigated in two scenarios based on without and with DG integration. The optimal configuration with more balanced load distribution conducted by FA reduces the power losses by up to 31.39% and 32.38% in without and with DG integration, respectively. Besides that, the DG integration improves the lowest voltage bus in the electrical distribution network from 0.95 p.u to 0.97 p.u.
Keywords: Electrical Distribution Network, Firefly Algorithm, Optimal Reconfiguration, Renewable Energy.
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Type of Study: Research Paper | Subject: Heuristics and Metaheuristics
Received: 2024/05/16 | Revised: 2024/10/06 | Accepted: 2024/07/23
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.