DocumentCode :
690798
Title :
Optimal placement of protective devices for improving reliability indices in Microgrid system
Author :
Gludpetch, Sirirat ; Tayjasanant, Thavatchai
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
An increasing penetration of distributed generation (DG) in distribution systems has led to the concept of Microgrid. Reliability enhancement is one of benefits of Microgrid system because it can operate in both grid-connected mode and islanding mode. However, system protection is one of the important issues in Microgrid planning because operation mode and location of protective devices have effect on system reliability. This paper will present an algorithm to determine an optimal placement of protective devices in Microgrid system for improving reliability indices considering operation mode. The objective functions are to minimize three reliability indices that are system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI) and energy not supplied (ENS). The proposed algorithms for solving the optimization problem and reliability evaluation are Particle Swarm Optimization (PSO) and Monte Carlo Simulation (MCS), respectively. Simulation results of implementing the proposed approach on modified feeder4 of RBTS bus 6 show the performance of this method.
Keywords :
Monte Carlo methods; distributed power generation; particle swarm optimisation; power generation reliability; power grids; ENS; MCS; Monte Carlo simulation; PSO; RBTS bus 6; SAIDI; SAIFI; distributed generation; distribution systems; energy not supplied; grid-connected mode; islanding mode; microgrid system planning; particle swarm optimization; protective device placement; reliability enhancement; reliability indices improvement; system average interruption duration index; system average interruption frequency index; Computer aided software engineering; Indexes; Interrupters; Mathematical model; Microgrids; Power system reliability; Reliability; Microgrid system; Monte Carlo Simulation (MCS); Particle Swarm Optimization (PSO); Protection system; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/APPEEC.2013.6837303
Filename :
6837303
Link To Document :
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