Volume 22, Issue 2 (June 2026)                   IJEEE 2026, 22(2): 3432-3432 | Back to browse issues page

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Badran O. Enhancing Network Efficiency through Dynamic Reconfiguration with Consideration of Renewable Energy Distributed Generation in Real-Time Operation. IJEEE 2026; 22 (2) :3432-3432
URL: http://ijeee.iust.ac.ir/article-1-3432-en.html
Enhancing Network Efficiency through Dynamic Reconfiguration with Consideration of Renewable Energy Distributed Generation in Real-Time Operation
Ola Badran
Abstract:   (79 Views)
Dynamic Network Reconfiguration (DNR) is a vital and effective technique for reducing energy loss. Due to its complexity, nonlinearity, and large-scale optimization challenge, DNR is still a very difficult problem. This paper presents a new strategy for improving the DNR's stability and reliability under Real-Time Operation Mode (RTOM). It addresses a simultaneous optimization technique within various limitations and constraints about network power flow, voltage limits, output generation of Renewable Energy Resources (RER), Distributed generation mode, and network load profile. In real-time operating mode, it optimizes Distributed Generations Sizing and Location (DG_SL) for Renewable Energy and Dynamic Network Reconfiguration (DNR). Reducing the overall daily active and reactive energy losses of the network, raising the Voltage Stability Index (VSI), distributing the load more evenly, and enhancing distribution efficiency in real-time operation mode are the primary goals. A Multi-Objective Decision-Making Approach (MODMA) based on the Analytic-Hierarchy Process (AHP) and Crow Search Algorithm (CSA). To evaluate the practicality of the proposed method, MATLAB simulations were conducted on the IEEE 33- and 69-bus networks. In the IEEE 33-bus case, the proposed AHP–CSA framework achieves up to 91.75% reduction in daily active losses and more than 90.70% reduction in daily reactive losses, with the Voltage Stability Index consistently improved toward unity. In the IEEE 69-bus case, the method delivers up to 81.78% reduction in daily active losses and 59.78% reduction in daily reactive losses, also enhancing the overall voltage stability profile. These outcomes confirm the effectiveness and robustness of the proposed approach for real-time distribution network operation with renewable DG integration.
Keywords: Dynamic Network Reconfiguration, Multi-Objective Decision-Making Approach, distributed generation, power loss, Voltage Stability index, optimization technique.
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Type of Study: Research Paper | Subject: Distributed Generation/Integration of Renewables
Received: 2024/09/04 | Revised: 2026/01/10 | Accepted: 2025/11/24
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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.