Exploration of AI-Oriented Power System Transient Stability Simulations

• URL: http://arxiv.org/abs/2110.00931v1
• Date: Sun, 3 Oct 2021 06:01:45 GMT
• Title: Exploration of AI-Oriented Power System Transient Stability Simulations
• Authors: Tannan Xiao, Ying Chen, Jianquan Wang, Shaowei Huang, Weilin Tong, Tirui He
• Abstract summary: It is foreseeable that the future power system transient stability simulations will be deeply integrated with AI. Existing power system dynamic simulation tools are not AI-friendly enough. A general design of an AI-oriented power system transient stability simulator is proposed.
• Score: 2.182997852215525
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Artificial Intelligence (AI) has made significant progress in the past 5 years and is playing a more and more important role in power system analysis and control. It is foreseeable that the future power system transient stability simulations will be deeply integrated with AI. However, the existing power system dynamic simulation tools are not AI-friendly enough. In this paper, a general design of an AI-oriented power system transient stability simulator is proposed. It is a parallel simulator with a flexible application programming interface so that the simulator has rapid simulation speed, neural network supportability, and network topology accessibility. A prototype of this design is implemented and made public based on our previously realized simulator. Tests of this AI-oriented simulator are carried out under multiple scenarios, which proves that the design and implementation of the simulator are reasonable, AI-friendly, and highly efficient.

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