Research Information System
Thesis Type: Doctorate
Institution Of The Thesis: Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2019
Thesis Language: Turkish
Student: ENES YALÇIN
Supervisor: MÜSLÜM CENGİZ TAPLAMACIOĞLU
Open Archive Collection: AVESIS Open Access Collection
Abstract:In this thesis, analyzes are conducted on the solution of Optimum Reactive Power Dispatch (ORPD) problem, which is one of the most important tools that enable system operators to make a decision with a systematic logic for the economical and reliable operation of power systems. To find an optimal solution to ORPD problem, Symbiotic Organisms Search (SOS) algorithm, which has important advantages such as easy application and no need to determine any parameter values, is firstly applied. However, it has been found that SOS may be unsatisfactory in solving non-convex problems involving multiple local optima. In the light of these findings, new algorithms called Adaptive Chaotic SOS (A-CSOS) and Multi Objective ACSOS (MOACSOS) are developed by modifying the SOS for single objective ORPD (SORPD) and multi objective ORPD (MORPD), respectively. By using the designed algorithms, active power loss, total voltage deviation and voltage stability have been improved within the scope of SORGD and MORPD in different test systems. According to the results of SORPD analysis, A-CSOS has been found to be better than the standard SOS, as well as many algorithms proposed in current studies in the literature. According to MORPD analysis, it has been understood that the best compromised solutions obtained with the MOACSOS are better than Multi Objective SOS. The efficiency of the proposed algorithms on the ORPD problem has been confirmed with the simulation studies, and it has also been shown that it will be a preferable algorithm for the solution of other constrained optimization problems