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Exploration of Artificial-intelligence Oriented Power System Dynamic Simulators
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AI
DOI：10.35833/MPCE.2022.000099.png)
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Abstract
En 中文
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 for AI-oriented power system dynamic simulators 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 in 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 for AI-oriented power system dynamic simulators.
Keywords:
Artificial intelligence
Power system stability
Power system dynamics
Data models
Brain modeling
Biological neural networks
Training
Power system dynamic simulator
artificial intelligence
application programming interface
parallel computing
Journal
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6.1
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1.6K
Citations:
6.0K