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 Galerkin method-based model predictive control for mid-long term voltage stability enhancement Bingqing Xia1; Hao Wu1; Danfeng Shen1; Xiang Zheng2; Wen Hua3; Yonghua Song1 2020-10 Source Publication IET GENERATION TRANSMISSION & DISTRIBUTION ISSN 1751-8687 Volume 14Issue:22Pages:5302-5309 Abstract Mid-long term voltage stability refers to voltage stability concerning the dynamics of the slow dynamic elements and protection devices in power systems. To improve the mid-long term voltage stability, this paper proposes a scheme of model predictive control (MPC) based on Galerkin method. The basic principle of MPC is to solve the optimization problem regarding voltage stability control based on the prediction model periodically. By applying the optimal control scheme to power systems, the mid-long term voltage stability can be enhanced. The Galerkin method-based polynomial approximation approximates the relationship between mid-long term trajectories and control parameters by a polynomial function. The polynomial function acts as a prediction model to predict future system trajectories under different values of control parameters in MPC. The advantage of the proposed method is that its prediction accuracy is relatively high and thus the control efficiency of MPC is improved, as the polynomial function can embody the non-linear characteristics of the power system. In the case study, the 3-machine 10-bus system and the New England 39-bus system are taken as examples to compare the MPC based on the proposed method and the trajectory sensitivity method in terms of prediction accuracy, computation time and control results. Keyword Polynomials Galerkin Method Power System Control Optimisation Power System Stability Power System Transient Stability Polynomial Approximation Predictive Control Galerkin Method-based Model Predictive Control Mid-long Term Voltage Stability Enhancement Slow Dynamic Elements Protection Devices Power System Mpc Voltage Stability Control Prediction Model Control Scheme Galerkin Method-based Polynomial Approximation Mid-long Term System Trajectories Control Parameters Polynomial Function Prediction Accuracy DOI 10.1049/iet-gtd.2019.1952 Indexed By SCIE Language 英語English WOS Research Area Engineering WOS Subject Engineering, Electrical & Electronic WOS ID WOS:000591659200033 Fulltext Access Citation statistics Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS] Document Type Journal article Collection Faculty of Science and Technology Corresponding Author Hao Wu Affiliation 1.Department of Electrical Engineering, Zhejiang University, 38 ZheDa Road, Hangzhou, People's Republic of China2.State Grid Zhejiang Electric Power Company, 8 Huanglong Road, Hangzhou, People's Republic of China3.State Grid Zhejiang Electric Power Research Institute, 1 Huadian Lane, Hangzhou, People's Republic of China Recommended CitationGB/T 7714 Bingqing Xia,Hao Wu,Danfeng Shen,et al. Galerkin method-based model predictive control for mid-long term voltage stability enhancement[J]. IET GENERATION TRANSMISSION & DISTRIBUTION,2020,14(22):5302-5309. APA Bingqing Xia,Hao Wu,Danfeng Shen,Xiang Zheng,Wen Hua,&Yonghua Song.(2020).Galerkin method-based model predictive control for mid-long term voltage stability enhancement.IET GENERATION TRANSMISSION & DISTRIBUTION,14(22),5302-5309. MLA Bingqing Xia,et al."Galerkin method-based model predictive control for mid-long term voltage stability enhancement".IET GENERATION TRANSMISSION & DISTRIBUTION 14.22(2020):5302-5309.
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