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

fYear

2005

fDate

27-30 June 2005

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PTC.2005.4524517

Filename

4524517