Open capacity of distribution network including distributed power supply and network reconfiguration

Load access point planning based on network security is the open capacity assessment for distributive networks to reduce power loss. Distribution network operators must meet consumers’ qualitative and statistical power demands and ensure their satisfaction. The distribution network function aims to minimize power loss by determining the network’s maximum power supply capacity while considering parameters like power flow dispersion, node voltage, line capability, and other limitations. The emergence of new flexible loads presents opportunities and challenges. The study suggested Open Capacity Distribution Network solutions incorporating Distributed Power Supply and Network Reconfiguration (OCDN-DPS and NR). The paper proposes a novel technique to optimize distribution networks’ open capacity, addressing the issues faced by the expanding use of distributed energy sources. The proposed study produces a rise of 18% in inaccessible capacity and a decrease in power losses by combining distributed electrical power and reconfiguration of network approaches, demonstrating the efficacy of the presented methodologies. The study uses second-order cone relaxing theory to estimate the distribution of the system’s power supply capability on typical days, taking uncertainty into account to satisfy optimization goals. Comparative analysis indicates the unique approach’s superiority, stressing its significance in promoting sustainable energy options in distribution system optimization while maintaining consumer happiness and network security.

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Publication Details

Journal
Intelligent Decision Technologies
Published
2024-11-01
DOI
https://doi.org/10.3233/idt-240219
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.21
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Open capacity of distribution network including distributed power supply and network reconfiguration

Tong Wang, Hengyu Liu, Zhe Zhang, Bo Zhao et al.
1 citations
Intelligent Decision Technologies
Optimal Power Flow Distribution
0.21
article

Open capacity of distribution network including distributed power supply and network reconfiguration

Tong Wang, Hengyu Liu, Zhe Zhang, Bo Zhao, Yidong Zhu
article en
1 citations

Abstract

Load access point planning based on network security is the open capacity assessment for distributive networks to reduce power loss. Distribution network operators must meet consumers’ qualitative and statistical power demands and ensure their satisfaction. The distribution network function aims to minimize power loss by determining the network’s maximum power supply capacity while considering parameters like power flow dispersion, node voltage, line capability, and other limitations. The emergence of new flexible loads presents opportunities and challenges. The study suggested Open Capacity Distribution Network solutions incorporating Distributed Power Supply and Network Reconfiguration (OCDN-DPS and NR). The paper proposes a novel technique to optimize distribution networks’ open capacity, addressing the issues faced by the expanding use of distributed energy sources. The proposed study produces a rise of 18% in inaccessible capacity and a decrease in power losses by combining distributed electrical power and reconfiguration of network approaches, demonstrating the efficacy of the presented methodologies. The study uses second-order cone relaxing theory to estimate the distribution of the system’s power supply capability on typical days, taking uncertainty into account to satisfy optimization goals. Comparative analysis indicates the unique approach’s superiority, stressing its significance in promoting sustainable energy options in distribution system optimization while maintaining consumer happiness and network security.

Intelligent Decision TechnologiesVol. 18(4)
Shanghai Electric (China) (CN)
Openalex Percentile: Top 43%
Optimal Power Flow Distribution
0.21
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Open capacity of distribution network including distributed power supply and network reconfiguration — Tong Wang, Hengyu Liu, et al. · Intelligent Decision Technologies (2024) | TGRS Research Map | TGRS