DocumentCode :
1777812
Title :
A novel dynamical reactive power reserve optimization approach for improving mid-long term voltage stability of large-scale AC-DC hybrid power systems
Author :
Wang Qi ; Zhang Jian ; Liu Liping
Author_Institution :
Power Syst. Dept., CEPRI, Beijing, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
721
Lastpage :
726
Abstract :
Practical and analytical analysis has demonstrated a strong link between dynamical reactive power reserve and power system stability. Proper evaluation and optimization on dynamical reactive power reserve will be of great significance to enhancing reactive support and maintaining system operation in secure and stable manner, especially for the receiving-end AC-DC hybrid systems. According to the different response characteristics of dynamical reactive resources, the concept of effective reserve and weighting factor for reactive resources in mid-long term scale is presented. Dynamical reactive power reserve for mid-long term voltage stability is defined as the weighted sum of effective reserve of reactive power resources. A dynamical reactive power reserve optimization model for improving mid-long term voltage stability of large-scale AC-DC hybrid power systems is formulated and a solving algorithm is proposed. Based on an analysis of the mid-long term voltage stability characteristics of a modified 3 generators and 10 nodes system, the effectiveness of the proposed dynamical reactive power reserve optimization approach for improving mid-long term voltage stability of AC-DC hybrid power systems is verified.
Keywords :
AC-DC power convertors; hybrid power systems; optimisation; power system stability; reactive power; dynamical reactive power reserve optimization model; large-scale AC-DC hybrid power system; mid-long term voltage stability; power system stability; Generators; Optimization; Power system stability; Reactive power; Stability criteria; Voltage control; AC-DC hybrid power system; dynamical reactive power reserve; mid-long term voltage stability; optimization approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993849
Filename :
6993849
Link To Document :
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