This paper investigates the frequency deviation and stability analysis of a small isolated power system in response to various load levels and demand penetration of unit generators. From the analysis an optimal generation unit commitment strategy is presented in terms of system operation and...

German wind power development is a technological success story but has involved very high subsidies. Germany was a latecomer in wind power but specific political conditions in the late 1980s and early 1990s allowed the implementation of the feed in tariff regime which has characterised Germany...

Given the rapid expansion of wind power capacities in Germany, this paper estimates the effects of wind turbines on house prices using real estate price data from Germany's leading online broker. Employing a hedonic price model whose specification is informed by machine learning techniques, our...

Electricity markets are increasingly influenced by variable renewable energy such as wind and solar power with a pronounced weather-induced variability and imperfect predictability. As a result, the evaluation of the capacity value of variable renewable energy, i.e. its contribution to security...

High-quality short-term forecasts of wind speed are vital to making wind power amore reliable energy source. Gneiting et al. (2006) have introduced a model for the averagewind speed two hours ahead based on both spatial and temporal information. Theforecasts produced by this model are accurate,...

As wind power penetration grows, the amount of reserve needed on the system also grows, due to the increases in the uncertainty of wind power, which grows larger as forecast horizon increases. By scheduling the system more often the amount of extra reserve to be carried to cater for wind...

Electricity markets are currently evolving to accommodate large scale penetration of wind generation. In this research, potential changes to the classification and role of windgenerators in the Single Electricity Market (SEM), the market for Northern Ireland and the Republic of Ireland, are...

We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...

Green parties are commonly seen as strong proponents of wind power. This paper presents an alternative view, examining data from the highly decentralized institutional setup in Sweden where approval of wind power applications is delegated to local governments. I demonstrate that the approval...

Local resistance towards wind power is a central challenge for the energy transition, implying that legally imposed compensation schemes for nearby residents may become more prevalent in the near future. In this study, I use GIS-coded data on detached residential buildings in Sweden to simulate...