Session 2: Intelligent operation and maintenance of photovoltaic power stations
Session Chair(s) and Speakers
Jifeng Song is a professor and PhD supervisor, and serves as the deputy director of the Institute of Energy and Power Innovation. His main focus is on the detection and control of solar power plants. He has led or participated in numerous research projects, including the Ministry of Science and Technology's 863 and 973 projects, the National Natural Science Foundation, and international cooperation projects, as well as several commissioned tech development projects for power generation groups. He has developed and deployed multiple solar-specific devices, such as a trough-type solar concentrating test platform, heliostats for tower solar thermal power plants, fiber-optic lighting systems, solar concentrator simulators, and precision solar radiation measurement systems.
Zhou Ying, female, is a Professorate Senior Engineer and the Chief Engineer of the New Energy Institute at Beijing Engineering Corporation. She is recognized as an Outstanding Young Expert in the electric power industry. Her research focuses on wind-solar-storage integration and digital-intelligent technologies for new energy power stations. She has led multiple major domestic and international engineering projects as well as key research initiatives, contributed to the development of several industry standards, and received numerous prestigious awards, including those for scientific and technological progress in the power sector and national outstanding consulting achievements.
📋 Session Abstract
Under the impetus of the "Dual Carbon" strategy, the proportion of installed photovoltaic capacity has grown rapidly. Photovoltaic power stations have gradually transitioned from the "peak construction period" to the "operation and maintenance benefit period", followed by a sharp increase in demand for long-term operation and maintenance services. Using high-efficiency, low-cost intelligent operation and maintenance methods to diagnose faults, reduce the levelized cost of energy and improve the overall revenue of power stations is currently the hottest topic in this field. This forum focuses on but is not limited to the following directions:
- Photovoltaic output prediction
- Fault diagnosis of key equipment in photovoltaic power stations
- Loss analysis of ash deposition rate
- Intelligent perception and Internet of Things for photovoltaic power stations
- Intelligent UAV inspection
- Digital twin and 3D visualization
- Photothermal application
- Electricity Market
- Solar Meteorology
- Solar thermal utilization
- Large-scale new energy bases