Construction Schedule of Medium Voltage Overhead Distribution Network Optimization Based on Neural Network Algorithm

Authors

DOI:

https://doi.org/10.4108/ew.3716

Keywords:

medium voltage overhead distribution network, construction schedule prediction, CNN algorithm model, BP algorithm model

Abstract

INTRODUCTION: The medium voltage overhead distribution network is a complex planning problem, and monitoring the construction progress of the medium voltage overhead distribution network is an important aspect of the planning problem. Regarding the structure of the medium voltage overhead distribution network, it is one of the important components in China's distribution network system. If the construction progress of the medium voltage overhead distribution network is optimized, it will affect the normal operation of the entire power grid system in a certain region. Optimizing the construction progress of medium voltage overhead distribution networks using modern development related technologies or algorithms is one of the practical research topics.

OBJECTIVES: To better predict various issues that may arise during the construction progress of the distribution network. Complex geographical conditions lead to construction difficulties, and lack of technology leads to frequent stoppages of construction, further leading to frequent power outages in various regions. In terms of the overall power supply system, the reliability of power supply is not high.

METHODS: By comparing the BP neural network algorithm with the CNN network algorithm, the actual operation effect is evaluated by experts.

RESULTS: This article predicts the implementation progress of the medium voltage overhead distribution network, and the results show that the accuracy of the BP model for predicting the construction progress of the medium voltage overhead distribution network can reach 88%; The accuracy of the CNN medium voltage overhead distribution network construction progress prediction model reaches 77%.

CONCLUSION: The use of neural network algorithms to optimize the construction schedule of medium voltage overhead distribution networks has been evaluated by experts in practical applications, and the medium voltage overhead distribution network in power supply systems has potential application value.

Downloads

Download data is not yet available.

References

He Hailei,Lu Runzhao,Gao Xin,Zhang Jian,Jian Qingzhi,Li Wensheng. A method of power-electronized supply accommodation capacity analysis for receiving-end grid based on multi-objective optimization. Journal of Physics: Conference Series,2022,2260(1). DOI: https://doi.org/10.1088/1742-6596/2260/1/012039

Li Wenwei,Wang Xiaoming,Guo Zipei. Research on Acceptance of Intelligent Substation Equipment Based on Secondary System Debugging Technology. Journal of Physics: Conference Series,2022,2260(1). DOI: https://doi.org/10.1088/1742-6596/2260/1/012044

Qi Xuesong,Tian Li,Sun Jia,Li Mengqi. Construction and implementation of power grid dispatching interactive system based on Internet. Journal of Physics: Conference Series,2022,2260(1). DOI: https://doi.org/10.1088/1742-6596/2260/1/012050

Fei Yuan,Hongying Yang,Gaoshang Zhao. Research on Intelligent Construction Technology of Information-driven Power Grid Security Situation Knowledge Graph. IFAC PapersOnLine,2022,55(3). DOI: https://doi.org/10.1016/j.ifacol.2022.05.018

Hong Huawei,Wu Kaibin,Zhang Yunfeng. Study on the BL Early Warning Model of Transmission Line Tower Based on KNN-SVM Algorithm. Journal of Physics: Conference Series,2022,2146(1). DOI: https://doi.org/10.1088/1742-6596/2146/1/012003

Liu Yi,Huang Xinjian,Li Sen,Gao Shang,Ji Kun,Li Huihui,Xu Hanyang. A Construction Method of Power Grid Monitoring Knowledge Graph. Journal of Physics: Conference Series,2022,2166(1). DOI: https://doi.org/10.1088/1742-6596/2166/1/012010

Qian Wang,Xiaolong Yang,2,Di Pu,Yingying Fan. Sustainable Investment Forecasting of Power Grids Based on the Deep Restricted Boltzmann Machine Optimized by the Lion Algorithm. Computer Modeling in Engineering amp; Sciences,2022,130(1). DOI: https://doi.org/10.32604/cmes.2022.016437

Zongze Yu,Zishuo Li,Fengchang Sun,Changhai Miao. Research on Construction Methods of Transient Security Region of AC/DC Hybrid Power Grid. IOP Conference Series: Earth and Environmental Science,2021,831(1). DOI: https://doi.org/10.1088/1755-1315/831/1/012010

Shaohua Wu,Jian Pan,Rong Yu,Jian Zhao,Yuran Chen,Di Wang,Wei Hu,Xin Long. Research on Visual Management system of Power Transmission Line based on two-dimensional GIS. Journal of Physics: Conference Series,2021,2005(1). DOI: https://doi.org/10.1088/1742-6596/2005/1/012233

Wang Linxin,Luo Shigang,Ren Mingyuan,Yang Zhaoguang,Shao Juan. Research on User Oriented Benefit Evaluation Model of Power Demand Side Management Based on Computer Software. Journal of Physics: Conference Series,2021,1992(3). DOI: https://doi.org/10.1088/1742-6596/1992/3/032140

Zhang Shuo,Chen Li,Zheng Yidan,Li Yingzi,Li Ying,Zeng Ming. How Policies Guide and Promoted Wind Power to Market Transactions in China during the 2010s. Energies,2021,14(14). DOI: https://doi.org/10.3390/en14144096

He Mingjun,Zhang Penghui,Liu Shuxiao. The Impact of Energy Internet Enterprise Construction on Power Grid Business Organization Mechanism. IOP Conference Series: Earth and Environmental Science,2021,829(1). DOI: https://doi.org/10.1088/1755-1315/829/1/012002

Zhang Yue,Hai Wei,Hao Feng,Shan Lianfei. Research and Application of Construction Method of Power Grid Dispatching Professional Corpus. IOP Conference Series: Earth and Environmental Science,2021,804(3). DOI: https://doi.org/10.1088/1755-1315/804/3/032006

Ai Xin,Zhao Lu. Comprehensive Evaluation of Power Grid Planning in Coastal Regions of China in the Context of Power Internet of Things (PIoT). Journal of Coastal Research,2021,37(4). DOI: https://doi.org/10.2112/JCOASTRES-D-20-00071.1

Štefko Róbert,Čonka Zsolt,Kolcun Michal. Case Study of Power Plants in the Slovak Republic and Construction of Microgrid and Smart Grid. Applied Sciences,2021,11(11). DOI: https://doi.org/10.3390/app11115252

Wang Shenjie,Niu Haonan,Pan Na,Xu Zhicheng,Pan Qi. Construction Scheme of Regional Power Grid Dispatching Intelligent Error Prevention System Based on D5000. Journal of Physics: Conference Series,2021,1920(1). DOI: https://doi.org/10.1088/1742-6596/1920/1/012001

Zhang D L,Yang S,Huang W X,Wu J,Zhang Y Y,Tian X,Guo Z H. Construction of the core backbone grid based on the maximum profit-to-risk ratio. Journal of Physics: Conference Series,2021,1914(1). DOI: https://doi.org/10.1088/1742-6596/1914/1/012018

Bin DongMei,Yu Tong,Li Xin. Research on Load Balancing Dispatching Method of Power Network Based on Cloud Computing. Journal of Physics: Conference Series,2021,1852(2). DOI: https://doi.org/10.1088/1742-6596/1852/2/022047

Zhang Qi. Research on the Construction Schedule and Cost Optimization of Grid Structure based on BIM and Genetic Algorithm. Journal of Physics: Conference Series,2021,1744(2). DOI: https://doi.org/10.1088/1742-6596/1744/2/022065

Liu Ruijun,Liu Quan,Liu Fuhai,Tu Lei,Zhang Jixu,Guan Qing. Design and Research of Micro Pile Drilling Rig for UHV Transmission Line in Mountainous Area. IOP Conference Series: Earth and Environmental Science,2021,668(1). DOI: https://doi.org/10.1088/1755-1315/668/1/012056

Downloads

Published

03-05-2023

How to Cite

1.
Xu M, Pan J. Construction Schedule of Medium Voltage Overhead Distribution Network Optimization Based on Neural Network Algorithm. EAI Endorsed Trans Energy Web [Internet]. 2023 May 3 [cited 2024 Jul. 3];10. Available from: https://publications.eai.eu/index.php/ew/article/view/3716