DocumentCode :
3779028
Title :
Optimization of real power generation plants for power loss minimization and voltage profile improvement using Krill herd algorithm
Author :
B. Sravan Kumar;M. Suryakalavathi;G.V. Nagesh Kumar
Author_Institution :
Department of EEE, GITAM University, Visakhapatnam, India
fYear :
2015
Firstpage :
117
Lastpage :
121
Abstract :
Reduction of generation cost and transmission losses is one of the most important issues of today´s power systems. In this paper, a multi- objective optimal power flow using a biologically inspired, Krill herd (KH) Search Algorithm has been proposed. Unified Power Flow Controller (UPFC) is a multilateral device in the Flexible Alternating Current Transmission System (FACTS) family which has the capability of controlling power system parameters like line reactance, voltage magnitude and phase angle either independently or collectively. The effectiveness of Krill herd (KH) algorithm is tested on IEEE 14 bus test system with the presence of UPFC for real power losses minimization and voltage deviation minimization as objective function and the results are presented and analyzed. The results of Krill herd algorithm are also compared with genetic algorithm with and without UPFC to establish the efficiency of the proposed algorithm.
Keywords :
"Load flow","Generators","Power generation","Genetic algorithms","Voltage control","Linear programming"
Publisher :
ieee
Conference_Titel :
Power, Control, Communication and Computational Technologies for Sustainable Growth (PCCCTSG), 2015 Conference on
Type :
conf
DOI :
10.1109/PCCCTSG.2015.7503935
Filename :
7503935
Link To Document :
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