Title :
Application of Fuzzy Maximal Tree Clustering for Weak Voltage Buses Grouping
Author :
An, Tianyu ; Zhou, Suquan ; Yu, Jilai
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol.
Abstract :
A practical buses grouping method for weak voltage areas based on a fuzzy maximal tree clustering is proposed. Firstly, V-lambda curves of all buses are calculated by continuation power flow method. Then voltage magnitude variation is adopted to find weak voltage buses at the same load variation rate. After sorting the normalized DeltaV in a descending order, the bigger ones are chosen as weak voltage buses. For the voltage magnitude cannot reflect the weakness of the buses, we use the rate of voltage magnitude variation as grouping standard instead and present two indices (in time domain and frequency domain) for weak voltage buses group similarity. After the similarities of the weak voltage buses are calculated, a fuzzy maximal tree is constructed to group the weak voltage buses, while the practical geographic factors are taken into consideration at the same time. Finally, the simulations on IEEE 118 bus system show our configuration method is effective
Keywords :
frequency-domain analysis; fuzzy set theory; load flow; pattern clustering; time-domain analysis; trees (mathematics); IEEE 118 bus system; continuation power flow; frequency domain; fuzzy maximal tree clustering; time domain; voltage magnitude variation; weak voltage buses grouping; Frequency domain analysis; Fuzzy systems; Load flow; Pattern analysis; Power system analysis computing; Power system interconnection; Power system security; Power system stability; Sorting; Voltage; Fuzzy maximal tree clustering; buses grouping; weak voltage area;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713415