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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

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.

KeywordPolynomials 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
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Indexed BySCIE
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000591659200033
Scopus ID2-s2.0-85096357471
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorHao Wu
Affiliation1.Department of Electrical Engineering, Zhejiang University, 38 ZheDa Road, Hangzhou, People's Republic of China
2.State Grid Zhejiang Electric Power Company, 8 Huanglong Road, Hangzhou, People's Republic of China
3.State Grid Zhejiang Electric Power Research Institute, 1 Huadian Lane, Hangzhou, People's Republic of China
Recommended Citation
GB/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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