Title :
A Genetic Algorithm Based Approach to Allocation of SVC Considering System Loadability
Author :
Kazemi, A. ; Shahnazari, M. ; Naghshbandi, A.H.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
This paper presents the application of genetic algorithm (GA) to determine the location and compensation level of SVC in power systems. The loading margin of the system has been selected as objective function and real code GA has been used for chromosome presentation. The proposed method has been implemented on the IEEE 14-bus system. The results show the effectiveness of this method
Keywords :
flexible AC transmission systems; genetic algorithms; static VAr compensators; FACTS; IEEE 14-bus system; SVC allocation; chromosome presentation; genetic algorithm; power systems; Control systems; Costs; Genetic algorithms; Load flow; Phase shifters; Power electronics; Power system stability; Power systems; Static VAr compensators; Voltage;
Conference_Titel :
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location :
Newcastle upon Tyne
Print_ISBN :
978-186135-342-9
DOI :
10.1109/UPEC.2006.367516
