http://scholars.ntou.edu.tw/handle/123456789/21445
標題: | Integrations of Neural Networks and Transient Energy Functions for Designing Supplementary Damping Control of UPFC | 作者: | Hung-Chi Tsai Jian-Hong Liu Chia-Chi Chu |
關鍵字: | Damping;Power system stability;Stability analysis;Transient analysis;Artificial neural networks;Voltage control;Damping control;energy functions;neural networks (NNs);unified power flow controller (UPFC) | 公開日期: | 十一月-2019 | 出版社: | IEEE | 卷: | 55 | 期: | 6 | 起(迄)頁: | 6438 - 6450 | 來源出版物: | Transactions on Industry Applications | 摘要: | This article presents an integrated scheme for supplementary damping control of unified power flow controllers (UPFCs) in order to mitigate low-frequency oscillations in power systems. The entire control system consists of the primary control and the supplementary control. In the primary control, the passivity-based control is considered in the current control loop of two converters for achieving more prompt and accurate dynamical responses. In the supplementary control, the transient energy function (TEF) approach will be explored first for designing the damping control of UPFCs. This control action can be considered as an extension of droop control used in the synchronous generator. In order to further cope with unmodeled dynamics of power systems and provide the online dynamic adaptation ability, neural networks approximated control actions are designated for online weight adjustments of the TEF-based supplementary control. Numerical simulations on three benchmark systems have been performed to validate the proposed control method for providing the extra damping and suppressing power swings even under severe operating conditions. |
URI: | http://scholars.ntou.edu.tw/handle/123456789/21445 | ISSN: | 0093-9994 | DOI: | 10.1109/TIA.2019.2936381 |
顯示於: | 電機工程學系 |
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