Title :
Fault indicator location in distribution system using Fuzzy clustering-based genetic algorithm
Author :
Nejadfard-jahromi, Saeed ; Hajebrahimi, Ali ; Rashidinejad, Masoud
Author_Institution :
Dept. of Electr. & Comput. Eng., Grad. Univ. of Adv. Technol., Kerman, Iran
Abstract :
A stable and reliable power distribution system is an inevitable pre-requisite for the technological and smarter power system. Furthermore, the traditional methodology for improving reliability of distribution system under smart grid environment will be unavailing. For this purposed, a novel approach is presented for multi objective placement and number of the Fault Indicator (Fl) in the smart distribution systems. The reliability index and investment cost are considered as multifarious objectives in the multi objective problem. Due to its good handling of non-convex and mixed integer problem, a Fuzzy Clustering-based Genetic Algorithm (FCGA) is utilized for optimization problem. The simulation is conducted on a 50 node real system to trace the capability of proposed algorithm.
Keywords :
convex programming; costing; genetic algorithms; integer programming; investment; power distribution economics; power distribution reliability; FCGA; distribution system reliability; fault indicator location; fuzzy clustering-based genetic algorithm; investment cost; mixed integer problem; multiobjective placement; multiobjective problem; nonconvex integer problem; optimization problem; power distribution system; power system; reliability index; smart distribution systems; smart grid environment; Fault location; Genetic algorithms; Linear programming; Optimization; Power system reliability; Fault Indicator; Fuzzy Clustering-Based Genetic Algorithm; Multi-objective Optimization; Smart Grid;
Conference_Titel :
Intelligent Systems (ICIS), 2014 Iranian Conference on
Conference_Location :
Bam
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/IranianCIS.2014.6802593