基于新一代人工智能技术的电力系统稳定评估与决策综述

Review on Stability Assessment and Decision for Power Systems Based on New-generation Artificial Intelligence Technology

以深度学习、强化学习和迁移学习等高级机器学习为代表的新一代人工智能技术在处理海量数据、挖掘复杂非线性映射等方面具有更强的优势,使其在电力系统稳定评估与决策中的应用逐渐受到青睐。首先,梳理了基于人工智能技术实现电力系统稳定评估与决策的基本框架;其次,针对稳定评估与稳定决策问题,分别从功角、频率、电压、宽频振荡这4个电力系统稳定性问题和预防控制、紧急控制、恢复控制这3种控制类型出发,进行了国内外学者的相关研究工作及关键技术评述;最后,依据新一代人工智能技术在电力系统稳定评估与决策中的应用现状,从数据、模型和应用3个层面对存在的一些问题提出了可能的应对措施和展望。

The new-generation artificial intelligence(AI) technology, represented by advanced machine learning such as deep learning, reinforcement learning and migration learning, has stronger advantages in processing massive data, mining complex nonlinear mapping, etc., which makes its application in power system stability assessment and decision increasingly favored. First,the basic framework of power system stability assessment and decision based on artificial intelligence technology is summarized.Secondly, for the stability evaluation and stability decision, the relevant research work and key technologies of domestic and foreign scholars are reviewed respectively from the four power system stability problems of power angle, frequency, voltage and broadband oscillation and the three control types of preventive control, emergency control and recovery control. Finally, according to the application status of the new-generation AI technology in power system stability assessment and decision, possible countermeasures and prospects are proposed for some existing problems from three aspects of data, model and application.