Open AccessResearch on Integrated Energy System of Power Grid Based on Artificial Intelligence Algorithm of Machine Learning
Author(s) -
Nan Zhang,
Wenqiang Zhang,
Yingnan Shang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042035
Subject(s) - computer science , energy management , energy management system , fault (geology) , service (business) , energy consumption , systems engineering , artificial intelligence , reliability engineering , energy (signal processing) , engineering , statistics , mathematics , economy , seismology , electrical engineering , economics , geology
To advance the revolution in energy production and consumption, and to build a clean, low-carbon, safe and efficient energy system, it is necessary to develop a new generation of smarter power systems and integrated energy systems. Artificial Intelligence (AI) is currently one of the most disruptive science and technology, with strong processing capabilities in computational intelligence, perceptual intelligence and cognitive intelligence. Aiming at practical engineering problems such as the lack of accurate monitoring of the state of terminal equipment in the current comprehensive energy operation and maintenance management and control, the fault diagnosis mechanism is not perfect and the accuracy is low, a comprehensive energy operation and maintenance management and control scheme based on machine learning is proposed. Focusing on comprehensive energy service operation and maintenance management and control, in-depth mining of operation and maintenance and fault diagnosis data, integrating service system related expert information, establishing a comprehensive energy service terminal health evaluation model, and achieving a comprehensive evaluation of the health status of comprehensive energy services.