An optimal solution for integrating PV energy sources into the distribution network

Vietnam, situated near the equator, receives high solar radiation, making it a crucial factor in addressing the urgent global shift to renewable energy sources. This transition aims to reduce CO2 emissions and achieve carbon neutrality by 2050. In the context of effectively harnessing solar energy, this paper presents a solution for identifying the location and power of renewable energy systems integrated into the distribution network. The objective is to minimize transmission power loss and voltage fluctuations while maximizing profits. The proposed solution involves using the Newton-Raphson algorithm to determine energy distribution on the power network in specific scenarios. Subsequently, the Hill Climbing algorithm is applied to identify the optimal location for deploying the renewable energy system on the power network. Moreover, a method for determining the power of renewable energy systems is implemented to minimize the objective function utilizing the Newton method. Experimental validation on the IEEE 33 bus and 69 bus test systems demonstrates that the proposed methodology consistently achieves optimal results expediently, underscoring its efficacy

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Publication Details

Journal
The Transport and Communications Science Journal
Published
2025-05-15
DOI
https://doi.org/10.47869/tcsj.76.4.14
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
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article

An optimal solution for integrating PV energy sources into the distribution network

Aye Myat Thu, Khoi Tran Van
The Transport and Communications Science Journal
Optimal Power Flow Distribution
article

An optimal solution for integrating PV energy sources into the distribution network

Aye Myat Thu, Khoi Tran Van
article en

Abstract

Vietnam, situated near the equator, receives high solar radiation, making it a crucial factor in addressing the urgent global shift to renewable energy sources. This transition aims to reduce CO2 emissions and achieve carbon neutrality by 2050. In the context of effectively harnessing solar energy, this paper presents a solution for identifying the location and power of renewable energy systems integrated into the distribution network. The objective is to minimize transmission power loss and voltage fluctuations while maximizing profits. The proposed solution involves using the Newton-Raphson algorithm to determine energy distribution on the power network in specific scenarios. Subsequently, the Hill Climbing algorithm is applied to identify the optimal location for deploying the renewable energy system on the power network. Moreover, a method for determining the power of renewable energy systems is implemented to minimize the objective function utilizing the Newton method. Experimental validation on the IEEE 33 bus and 69 bus test systems demonstrates that the proposed methodology consistently achieves optimal results expediently, underscoring its efficacy

The Transport and Communications Science JournalVol. 76(4)
University of Transport and Communications (VN)
Openalex Percentile: Top 91%
Optimal Power Flow Distribution
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