NDLI: Emergency voltage control based on MPC, Radau collocation and moving finite elements technique

Content Provider	IEEE Xplore Digital Library
Author	Shuang Wang Mingbo Liu Bo Hu Min Xie Wenjun Li
Copyright Year	2010
Description	Author affiliation: Chengdu electric power bureau, 610016 Sichuan Province, China (Wenjun Li) \|\| State Grid Energy Research Institute, 100052 Beijing, China (Bo Hu) \|\| School of Electric Power Engineering, South China University of Technology, Guangdong key laboratory of Clean energy technology, 510640 Guangzhou, China (Shuang Wang; Mingbo Liu; Min Xie)
Abstract	The nonlinear model predictive control method is applied to design emergency voltage controller. Based on quasi-steady-state approximation, the receding dynamic optimization model is established which subjected to differential-algebraic equations with continuous-discrete time variables. To enhance computational efficiency and control precision of solving this dynamic optimization model, direct dynamic optimization approach combined with moving finite elements are proposed to solve the problem of dynamic optimization. Firstly, the research interval is divided into finite elements. Radau collocation method is used to convert the optimization model into a nonlinear programming by approximating state variable, algebraic variable and control variable profiles by a family of polynomials on each element. Then moving finite elements is introduced to adjust the length of each interval dynamically, achieve the precise positioning of control variable and improve the accuracy of the algorithm. The interior-point algorithm given by AMPL as a mathematical optimization solver is used to solve the problem. Simulation results on New England 10-machine 39-bus system verify effectiveness of the proposed method.
Starting Page	1
Ending Page	7
File Size	741146
Page Count	7
File Format	PDF
ISBN	9781424459384
e-ISBN	9781424459407
DOI	10.1109/POWERCON.2010.5666389
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Computational modeling Voltage control ISO standards Artificial neural networks Finite element methods Load modeling moving finite elements Long-term voltage stability Nonlinear model predictive control Receding dynamic optimization Radau collocation
Content Type	Text
Resource Type	Article

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