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.
翻译:随着人工智能(AI)的迅速发展,可以预见的是,通过整合动态模拟器和AI,未来动力系统的动态分析的准确性和效率将大大提高。为探索动力系统动态模拟和AI的互动机制,建议对AI型动力系统动态模拟器进行总体设计,该模拟器由具有神经网络支持性和灵活的外部和内部应用编程界面的高性能模拟器组成。在APIs的支持下,模拟辅助AI和AI型模拟将形成动力系统动态模拟器与AI之间的全面互动机制。这一设计的一个原型是在高效电动机械模拟器的基础上实施和公开的。该原型的测试在四种情景下进行,包括样本生成、AI型稳定性预测、数据驱动动态构型和AI型稳定控制,这证明了AI型动力系统动态模拟器的设计和实施的有效性、灵活性和效率。