scholarly journals On efficient k-optimal-location-selection query processing in metric spaces

2015 ◽  
Vol 298 ◽  
pp. 98-117 ◽  
Author(s):  
Yunjun Gao ◽  
Shuyao Qi ◽  
Lu Chen ◽  
Baihua Zheng ◽  
Xinhan Li
2009 ◽  
Vol 21 (8) ◽  
pp. 1162-1177 ◽  
Author(s):  
Yunjun Gao ◽  
Baihua Zheng ◽  
Gencai Chen ◽  
Qing Li

2019 ◽  
Vol 8 (4) ◽  
pp. 9465-9471

This paper presents a novel technique based on Cuckoo Search Algorithm (CSA) for enhancing the performance of multiline transmission network to reduce congestion in transmission line to huge level. Optimal location selection of IPFC is done using subtracting line utilization factor (SLUF) and CSA-based optimal tuning. The multi objective function consists of real power loss, security margin, bus voltage limit violation and capacity of installed IPFC. The multi objective function is tuned by CSA and the optimal location for minimizing transmission line congestion is obtained. The simulation is performed using MATLAB for IEEE 30-bus test system. The performance of CSA has been considered for various loading conditions. Results shows that the proposed CSA technique performs better by optimal location of IPFC while maintaining power system performance


Author(s):  
Ricardo J. Barrientos ◽  
José I. Gómez ◽  
Christian Tenllado ◽  
Manuel Prieto Matias ◽  
Mauricio Marin

2009 ◽  
Vol 26 (2-3) ◽  
pp. 155-180 ◽  
Author(s):  
Christos Doulkeridis ◽  
Akrivi Vlachou ◽  
Yannis Kotidis ◽  
Michalis Vazirgiannis

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