Short-term Voltage Stability Assessment of AC/DC Power Grid based on SDAE and ADAM Algorithms

With the development of HVDC transmission and changes of load composition and characteristics, the short-term voltage problem seriously threatens the safety and stable operation of power systems. A short-term voltage stability assessment method based on deep learning neural network for AC/DC receiving-end power grid is proposed in this paper. The stacked denoising autoencoder (SDAE) and adaptive moment estimation (ADAM) algorithms are used to build a rapid evaluation model, and the training sample set is used to train the transient voltage stability rapid evaluation model. The steady-state power flow features are used as inputs and an index of quantifying short-term voltage stability of commutation bus is utilized as the output. Simulation results of real multi-infeed AC/DC power grid demonstrate the effectiveness of the proposed method.

[1]  Chao Lu,et al.  Time Series Shapelet Classification Based Online Short-Term Voltage Stability Assessment , 2016, IEEE Transactions on Power Systems.

[2]  Hongbin Sun,et al.  Practical short‐term voltage stability index based on voltage curves: definition, verification and case studies , 2018, IET Generation, Transmission & Distribution.

[3]  C.W. Taylor,et al.  Understanding and solving short-term voltage stability problems , 2002, IEEE Power Engineering Society Summer Meeting,.

[4]  Zhen Wang,et al.  On Self-Organized Criticality of the East China AC–DC Power System—The Role of DC Transmission , 2013, IEEE Transactions on Power Systems.

[5]  Kazuyuki Tanaka,et al.  Novel Dynamic Voltage Support Capability of Photovoltaic Systems for Improvement of Short-Term Voltage Stability in Power Systems , 2017, IEEE Transactions on Power Systems.

[6]  Yuchen Zhang,et al.  A Hierarchical Self-Adaptive Data-Analytics Method for Real-Time Power System Short-Term Voltage Stability Assessment , 2019, IEEE Transactions on Industrial Informatics.

[7]  Jovica V. Milanović,et al.  Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping , 2018, IEEE Transactions on Power Delivery.

[8]  Pratyasa Bhui,et al.  Real-Time Prediction and Control of Transient Stability Using Transient Energy Function , 2017, IEEE Transactions on Power Systems.

[9]  Costas D. Vournas,et al.  Power System Voltage Stability , 2015, Encyclopedia of Systems and Control.