Management mode and path of digital transformation of power grid enterprises based on artificial intelligence algorithm

Abstract

Facing the arrival of the digital transformation (DT) era, power grid enterprises are currently grappling with pressures arising from economic cycles and structural factors, and for them, the integration and development of energy revolution and digital revolution are intertwined. At this stage, people have increasing requirements for power service quality. However, electric power enterprises (EPEs) are unable to meet such demands because of several limitations, such as the surge of power grid operation risk, insufficient systematic service level and unreasonable enterprise architecture. DT is an effective way for EPEs to improve their management and service level. Power grid enterprises should follow the trend of digital development and actively carry out DT. In simulating the operation of the power system, the first step is to establish a grid connection between the simulated generator and the simulated power grid. This involves adjusting the generator excitation to regulate the generator voltage and adjusting the output of the prime mover to regulate the generator frequency. This study explored the management mode and implementation path of DT of EPEs, proposed the DT management mode of EPEs based on artificial intelligence (AI) algorithms and conducted an experimental research. The research showed that the average of the four- month informatisation project management level index of the enterprise S simulation model was 3.02 % higher than that of the four-month informatisation project management level index of the enterprise T simulation model. The average value of the operation and maintenance (O&M) and service management index of the enterprise S simulation model was 3.14 % higher than that of the enterprise T simulation model. The improvement of the management level index and the average O&M of simulation models can enhance the operational efficiency of enterprises and provide them with clear development directions. The average value of production security management index, network security management index and data asset management index of the enterprise S simulation model was higher than those of the enterprise T simulation model. The DT management mode of power grid enterprises based on AI algorithms is an effective driving force for power supply enterprises to achieve modernisation and standardised development.