The high proportion renewable energy access is an important feature and trend of future power system development. With large scale access of wind power and photovoltaics, high proportion renewable energy will bring strong uncertainty, making the safety and stability characteristics increasingly complex and difficult to control, thus bringing large impact to the operation of traditional power system. As an important feature of the system operation mode, power flow will be deeply affected by the power supply structure change. Aiming at the problem that the traditional power system analysis is difficult to cope with the change of operation mode caused by renewable energy access, this paper proposes a framework of system operation assessment and adjustment: first build a set of assessment indicator system based on flow rationality, and then adopts artificial intelligence method to learn the training adjustment strategy, and finally realizes the intelligent adjustment of system operation mode which meets the operation requirements of safety, high efficiency, economy and intelligence in the case of high proportion renewable energy access.
Keywords High proportion renewable energy, power system operation mode, System assessment, Intelligent flow adjustment, Artificial intelligence