Location Selection Evaluation of Advanced Electric Substation Technical Transformation Project Based on BPNN
Xia Qi, Lei An, Jianjun Wang · 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture · 2021
Electric power industry is very important of the development of national economy. With the rapid development of the advanced manufacturing process of the electricity industry, the electricity consumption of the industry has increased significantly. Therefore, the electric substation is very important of the electric supply of the power grid, which undertakes the important task of transmission and transformation, and is also an important part of the power grid advanced developing. Selecting a reasonable construction site of the substation can greatly reduce the cost, ensure the stability of the daily operation of the power grid advanced production, and bring great convenience to the advanced manufacturing producing. With the rapid development of the information age, the amount of power data information is also increasing explosively. In the context of big data, artificial intelligence technologies such as BPNN and machine learning gradually play a greater role. This paper constructs a comprehensive evaluation system for substation location, including transportation conditions, engineering geological conditions, construction conditions and construction costs of substations. Based on BPNN and matter-element extension model, the location selection of substations is evaluated. Firstly, this paper introduces the basic theory of matter-element extension model, then constructs the evaluation index system of substation location, and finally employ the BPNN to get the weight of the indexes. Finally, an example is given to prove the method effectiveness.