Title :
Evaluating reliability of distributed generation with analytical techniques
Author :
Lee, Jun-Kyung ; Bae, In-Su ; Jung, Hyun-Soo ; Kim, Jin-O
Author_Institution :
Hanyang Univ., Seoul
Abstract :
This paper presents an analytical method for the reliability evaluation of distribution system, including the distributed generations. Unlike the large sized generations of transmission system, the distributed generations have complexities in analyzing and determining the operation. In the process of evaluate reliability, it could be shown that the analytical method is simpler than the Monte-Carlo simulation. Modeling techniques of distributed generation to analysis distribution system reliability using Markov processes and frequency & duration techniques are proposed in this paper, and is compared with the simulation method as a result of the reliability evaluation.
Keywords :
Markov processes; Monte Carlo methods; distributed power generation; power distribution reliability; Markov processes; Monte-Carlo simulation; distributed generation; distribution system reliability; Costs; Distributed control; Frequency; Internal combustion engines; Markov processes; Photovoltaic systems; Power generation; Power system reliability; Solar power generation; Wind energy generation; Analytical Method; Distributed Generation (DG); Distribution System; Monte-Carlo Simulation;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524517
