Title :
A new method for optimal RCS placement in distribution power system considering DG islanding impact on reliability
Author :
Tadayon, M. ; Golestani, S.
Author_Institution :
Power&Electron., Shiraz Univ., Shiraz, Iran
Abstract :
Remote control switches (RCS) can improve reliability of a power system by reducing the total time of fault detection, isolation and restoration. DGs can improve reliability of system if they can provide the loads after switches performance to isolate faults. Then places and sizes of DGs and places of switches have significant effect on reliability improvement. In this paper a dynamic preprocessed genetic algorithm (DAGA) is proposed to enhance benefit of switches in ENS reduction by minimizing the total cost of customer service outage and total cost of line switches in presence of DGs. The feasibility of the proposed algorithm is examined by application to several distribution systems.
Keywords :
distributed power generation; genetic algorithms; power distribution faults; power distribution reliability; switchgear protection; telecontrol; DG islanding; distributed power generation; dynamic preprocessed genetic algorithm; fault detection; fault isolation; fault restoration; optimal RCS placement; power system reliability; remote control switches; Control systems; Costs; Electrical fault detection; Genetic algorithms; Power system control; Power system faults; Power system reliability; Power system restoration; Power systems; Switches; Dispersed generation; Genetic algorithm; Reliability; optimization method; switches;
Conference_Titel :
Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5230-9
Electronic_ISBN :
978-1-4244-5230-9
DOI :
10.1109/TD-ASIA.2009.5356954
