Transmission Line Planning Based on Artificial Intelligence in Smart Cities | Zendy

Yang Dong | Zendy; Tao He | Zendy; Bolin Du | Zendy; Wang Shou | Zendy; Zhong Zhang | Zendy; Zhang Su-xin | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Transmission Line Planning Based on Artificial Intelligence in Smart Cities

Author(s) -

Yang Dong,

Tao He,

Bolin Du,

Wang Shou,

Zhong Zhang,

Zhang Su-xin

Publication year - 2022

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2022/2010189

Subject(s) - computer science , transmission (telecommunications) , electric power transmission , smart grid , transmission line , smart city , grid , line (geometry) , power transmission , telecommunications , power (physics) , operations research , embedded system , electrical engineering , internet of things , geography , physics , geometry , mathematics , geodesy , quantum mechanics , engineering

With the development of smart cities, it is particularly important to realize scientific and reasonable planning of transmission lines as the backbone of the power transmission system. Through the geographic information system (GIS) platform, this paper obtains the geographic information of the planning area. Then, through the typical design cost of the 110 kV transmission line subvolume of the typical cost of the power transmission and transformation project of the State Grid Corporation and the local documents of the smart city planning area, this paper obtains the estimated cost of each grid after gridding in the smart city area. After that, the research uses the ant colony algorithm to search for the optimal transmission line route in the smart city. Finally, the achievements of primary economic and technical indexes are evaluated in transmission line planning of smart city.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research