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Ali Hesami Naghshbandy

Ali Hesami Naghshbandy

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 54891980200
Faculty: Faculty of Engineering
Address:
Phone: 33663563

Research

Title
A GENETIC ALGORITHM BASED APPROACH TO ALLOCATION OF SVC CONSIDERING SYSTEM LOADABILITY
Type
Presentation
Keywords
SVC, Allocation, Genetic Algorithm, System Loadability, Power System
Year
2006
Researchers Ahad Kazemi ، Majid Shahnazari ، Ali Hesami Naghshbandy

Abstract

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.