Analysis and Description of Key Technologies of Intelligent Energy System Integrated with Source-Grid-Load-Storage in the Oil Field

Abstract

Integration of source, grid, load, and storage is an important measure for energy transformation. However, at present, the oilfield industry lacks mature models and related technologies. Therefore, an oilfield intelligent energy system integrating source, power grid, load, and storage is proposed in this paper. In view of the poor oilfield data quality, abnormal/missing data diagnosis and repair methods are proposed to improve the information accuracy of the intelligent cloud management center. The improved photovoltaic prediction method of conditional generation countermeasure network (CGAN), PV-VSG control of additional control, and flexible load control are put forward to upgrade the intelligent deployment system. The system design and key technologies can provide reference for the construction of new power systems and energy Internet in the future oilfield industry.