The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks

The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address the problem of balancing investment costs and reliability benefits, as well as to establish the target network structure, firstly, the investment cost of the distribution network is calculated based on the determined number of network structure units. Secondly, reliability benefits are measured by combining the comprehensive function of user outage losses with the System Average Interruption Duration Index (SAIDI). Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. Finally, by using the influencing factors of the network structure as the initial population and setting the minimum total cost of the unit load as the fitness function, the DE algorithm is employed to obtain the optimal grid structure under continuous load density intervals. Case studies demonstrate that different load densities correspond to different optimal network structures. For load densities ranging from 0 to 30, the selected optimal network structures from low to high are as follows: overhead single radial, overhead three-section with two ties, cable single ring network, and cable dual ring network.

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Publication Details

Journal
Energies
Published
2024-11-18
DOI
https://doi.org/10.3390/en17225763
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.21
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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks

Zhichun Yang, Huaidong Min, Wei Hu, Fan Yang et al.
1 citations
Energies
Optimal Power Flow Distribution
0.21
article

The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks

Zhichun Yang, Huaidong Min, Wei Hu, Fan Yang, Bin Zhou, Yu Liu, Zhiqiang Zhou, Lei Yang
article en
1 citations

Abstract

The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address the problem of balancing investment costs and reliability benefits, as well as to establish the target network structure, firstly, the investment cost of the distribution network is calculated based on the determined number of network structure units. Secondly, reliability benefits are measured by combining the comprehensive function of user outage losses with the System Average Interruption Duration Index (SAIDI). Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. Finally, by using the influencing factors of the network structure as the initial population and setting the minimum total cost of the unit load as the fitness function, the DE algorithm is employed to obtain the optimal grid structure under continuous load density intervals. Case studies demonstrate that different load densities correspond to different optimal network structures. For load densities ranging from 0 to 30, the selected optimal network structures from low to high are as follows: overhead single radial, overhead three-section with two ties, cable single ring network, and cable dual ring network.

EnergiesVol. 17(22)
State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 46%
Optimal Power Flow Distribution
0.21
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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks — Zhichun Yang, Huaidong Min, et al. · Energies (2024) | TGRS Research Map | TGRS