Open AccessLong‐term reliability evaluation for small hydro‐power generations based on flow runoff theory
Author(s) -
Chen Lili,
Ding Yi,
Li Haitao,
Jin Guiyang
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0623
Subject(s) - reliability (semiconductor) , reliability engineering , small hydro , generator (circuit theory) , term (time) , surface runoff , electricity generation , computer science , environmental science , flow (mathematics) , electric power system , power (physics) , engineering , electrical engineering , renewable energy , physics , mechanics , ecology , quantum mechanics , biology
Electric power output from a small hydro‐power (SHP) generator is usually determined by the water flow, which fluctuates slowly in short term. However, for long term, the water flow varies greatly with the seasonal changes. This uncertainty will take great impacts on system reliability, especially for systems with high hydro‐power penetration. This study presents a methodology to evaluate the reliability of SHP generators. The mechanism of producing and conflux of flow runoff is studied and modelled utilising universal generating function (UGF) methods. The power generation reliability and availability of a single SHP generator and several SHP generators clustered together in groups are represented as the corresponding UGFs. The expected generated energy and the generation availability are used to evaluate the reliability of SHP generators. The modified IEEE case of six SHP generators in Brazilian rivers is evaluated by the proposed method.