Volume 20, Issue 3 (September 2024)                   IJEEE 2024, 20(3): 3244-3244 | Back to browse issues page

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Jain A, Gupta S. Enhancement of Distribution Transformer Lifespan by using Distributed Generation under Transactive Control Rescheduling. IJEEE 2024; 20 (3) :3244-3244
URL: http://ijeee.iust.ac.ir/article-1-3244-en.html
Enhancement of Distribution Transformer Lifespan by using Distributed Generation under Transactive Control Rescheduling
Akanksha Jain , S.C. Gupta
Abstract:   (349 Views)
Due to the anticipated increase in loads, the power grid will encounter the issue of system peak loads in the future, which is typically addressed through grid reinforcement. However, implementing a flexibility service option can prevent the need for grid development. As the overall load continues to rise, the distribution transformer becomes overloaded. The presented work focuses on enhancing one of the parameters that define the insulation life of the transformer, known as the Loss-of-Life (LOL). Transactive approach involves the rescheduling of the battery and photovoltaic generation. Dominated Group Search Optimization (DGSO) algorithm is utilized to optimize the objective function of reducing the peak transformer load under the power flow and voltage constraints of the network. Experimental validation of the proposed method is conducted using MATLAB 2018 software. Modified IEEE 34-bus system is used to implement the proposed methodology. Numerical results obtained from various cases elucidate that the proposed model reduces the LOL of the transformer from 0.0103 to 0.0017 p.u.Comparative analysis of the proposed method with the already used methods of voltage-control and Volt-Var control have been presented.
Keywords: Loss-of-Life, Power Distribution System, Insulation Life, transformer.
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Type of Study: Research Paper | Subject: Demand Side Management
Received: 2024/03/28 | Revised: 2024/09/13 | Accepted: 2024/08/25
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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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.