Open AccessReliability assessment of DC series–parallel offshore wind farms
Author(s) -
Huang Qihang,
Wang Xiuli,
Qian Tao,
Yao Li,
Wang Yifei
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8474
Subject(s) - offshore wind power , turbine , wind power , unavailability , reliability (semiconductor) , renewable energy , marine engineering , reliability engineering , series and parallel circuits , power optimizer , wind speed , electric power system , environmental science , computer science , automotive engineering , engineering , power (physics) , electrical engineering , meteorology , voltage , mechanical engineering , maximum power point tracking , physics , inverter , quantum mechanics
The remarkable benefits of wind power as an environmentally friendly renewable energy resource have led to an increasing penetration of offshore wind energy in modern power systems. Since the DC series–parallel connection system does not need large capacity DC/DC converters, it can reduce the construction costs of wind farms to some extent. In this study, the models of wind speed, wind direction and the wind turbine output power characteristic are developed. Based on this, the output power of each turbine considering the wake effect can be estimated. Then, the reliability block diagrams are drawn according to component relationships in reliability. Moreover, indexes like the probability of all wind turbine string failure, system unavailability and the average available output power of the power system are proposed to assess the reliability of the DC series–parallel offshore wind farm. A case study is presented to calculate the reliability indexes of different situations, where the amount of wind turbines remains the same while the number of turbine strings varies. It can be concluded that the DC series–parallel offshore wind farm is more reliable when increasing turbine string number, and reference is provided for DC series–parallel wind farm structure optimisation.