1. Probabilistic generation assessment system of renewable energy in Korea
- Author
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Ungjin Oh, Jaeseok Choi, Sunghoon Lee, Yeonchan Lee, and Jintaek Lim
- Subjects
Engineering ,Meteorology ,solar radiation ambiguity ,02 engineering and technology ,01 natural sciences ,Renewable energy generation assessment ,Wind speed ,wind speed uncertainty ,law.invention ,Steam turbine ,law ,wind turbine generator ,0103 physical sciences ,Solar cell ,0202 electrical engineering, electronic engineering, information engineering ,Astrophysics::Solar and Stellar Astrophysics ,Physics::Atmospheric and Oceanic Physics ,010302 applied physics ,Wind power ,business.industry ,020208 electrical & electronic engineering ,Probabilistic logic ,Statistical model ,Renewable energy ,Offshore wind power ,Physics::Space Physics ,wind and solar farms equivalent generation functions ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,solar cell generator ,business ,lcsh:TK1-9971 - Abstract
This paper proposes probabilistic generation assessment system introduction of renewable energy generators. This paper is focused on wind turbine generator and solar cell generator. The proposed method uses an assessment model based on probabilistic model considering uncertainty of resources (wind speed and solar radiation). Equivalent generation function of the wind and solar farms are evaluated. The equivalent generation curves of wind farms and solar farms are assessed using regression analysis method using typical least square method from last actual generation data for wind farms. The proposed model is applied to Korea Renewable Generation System of 8 grouped 41 wind farms and 9 grouped around 600 solar farms in South Korea.
- Published
- 2016