  With the rapid development of artificial intelligence (AI), it is foreseeable
that the accuracy and efficiency of dynamic analysis for future power system
will be greatly improved by the integration of dynamic simulators and AI. To
explore the interaction mechanism of power system dynamic simulations and AI, a
general design of an AI-oriented power system dynamic simulator is proposed,
which consists of a high-performance simulator with neural network
supportability and flexible external and internal application programming
interfaces (APIs). With the support of APIs, simulation-assisted AI and
AI-assisted simulation form a comprehensive interaction mechanism between power
system dynamic simulations and AI. A prototype of this design is implemented
and made public based on a highly efficient electromechanical simulator. Tests
of this prototype are carried out under four scenarios including sample
generation, AI-based stability prediction, data-driven dynamic component
modeling, and AI-aided stability control, which prove the validity,
flexibility, and efficiency of the design and implementation of the AI-oriented
power system dynamic simulator.
