论文标题
瞬态稳定性评估的人工神经网络：评论
Artificial Neural Network For Transient Stability Assessment: A Review
论文作者
论文摘要
大规模可再生能源和增加不确定性的整合已大大改变了电力系统的动态，因此带来了各种挑战。对现代电力系统的快速瞬态稳定性评估是准确的电力系统计划和操作的重要要求。传统方法无法满足这一要求。因此，在这方面需要新颖的方法。人工神经网络等机器倾斜方法在这方面可以发挥重要作用。因此，本文旨在回顾人工神经网络在电力系统的瞬时稳定性评估中的应用。人们认为，这项工作将为机器学习应用领域的研究人员提供稳固的基础，以实现电源系统的安全性和稳定性。
Integration of large-scale renewable energy sources and increasing uncertainty has drastically changed the dynamics of power system and has consequently brought various challenges. Rapid transient stability assessment of modern power system is a vital requirement for accurate power system planning and operation. The conventional methods are unable to fulfil this requirement. Therefore, novel approaches are required in this regard. Machine leaning approaches such as artificial neural network can play a significant role in this regard. Therefore, this paper aims to review the application of artificial neural network for transient stability assessment of power systems. It is believed that this work will provide a solid foundation for researchers in the domain of machine learning applications to power system security and stability.
