Investment Rating - The report does not explicitly state an investment rating for the industry. Core Insights - The integration of artificial intelligence (AI) is essential for enhancing the safety and stability of power systems, especially in the context of increasing renewable energy sources and their unique characteristics [16][22][29]. - The report identifies 27 challenging issues related to the application of AI in power system safety and stability, emphasizing the need for innovative solutions and collaborative research efforts [51][62]. Summary by Sections Section 1: Motivation for AI in Power System Safety and Stability - Power systems are complex dynamic systems where safety and stability are critical for reliable electricity supply [13]. - The increasing penetration of renewable energy sources introduces new risks and uncertainties that necessitate the use of AI for effective analysis and control [16][25]. Section 2: Paradigm Space - AI can serve as an end-to-end solution for complex decision-making tasks in power systems, enhancing both inductive and deductive reasoning capabilities [41]. - The successful deployment of AI requires a robust engineering framework, including data resources, talent development, and lifecycle management [43][46]. Section 3: Problem Set - The report outlines various challenges, including data scarcity, data imbalance, and the need for realistic simulation environments [51][52]. - It emphasizes the importance of developing reliable AI models that can effectively generalize across different scenarios and maintain safety constraints [56][63]. - The need for a collaborative research model is highlighted, as no single entity can address the complex challenges posed by AI in power systems [62].
2024年人工智能赋能电力系统安全稳定研究报告
南方电网科学研究院·2024-12-16 07:05