DocumentCode :
2094466
Title :
MPC-based Load Shedding for Long-term Voltage Stability Enhancement Using Trajectory Sensitivities
Author :
Liu, Shuiping ; Liu, Mingbo ; Xie, Min
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
fYear :
2010
fDate :
28-31 March 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents model predictive control method for load shedding based on trajectory sensitivities. According to the basic principle of model predictive control, aiming at minimizing the quadric performance index which comprehensively considers both the control cost and the deviation between bus voltage predictive trajectories and their reference values, the receding optimization model is described as an optimal control model with constraints consisting of differential-algebraic equations in continuous and discrete time. The trajectory sensitivities between bus voltages and control variables are computed by means of trajectory sensitivities of hybrid systems and quasi-steady-state simulation, and hence the optimal control model for emergency voltage is simplified into a quadratic programming model with which independent variables are increments of control variables. This both enhances the computational efficiency and achieves better control performance. Results on New England 10-machine 39-bus system demonstrate feasibility and effectiveness of the proposed method for enhancing long-term voltage stability of power systems.
Keywords :
differential algebraic equations; load shedding; optimal control; optimisation; performance index; power system stability; predictive control; quadratic programming; MPC; differential algebraic equations; hybrid systems; load shedding; model predictive control method; optimization; quadratic programming model; quadric performance index; quasi steady state simulation; trajectory sensitivity; voltage stability; Constraint optimization; Cost function; Optimal control; Performance analysis; Power system modeling; Power system stability; Predictive control; Predictive models; Trajectory; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
Type :
conf
DOI :
10.1109/APPEEC.2010.5448466
Filename :
5448466
Link To Document :
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