As many wind farms have been installed in power systems in the world, frequency fluctuations due to output power variations have become a serious problem. Various countermeasures for the problem such as battery systems have been investigated. It is very important to evaluate the magnitude of frequency fluctuation for designing compensating systems. This paper presents a new and simple method to evaluate expected value of the frequency deviation due to variations of wind farm output, which is based on the intensity of turbulence and annual probability distribution of wind speed.
SUMMARY
As more and more wind farms are installed in power systems around the world, frequency fluctuations due to output power variations have become a serious problem. Various countermeasures for the problem, such as battery systems, have been investigated. It is very important to evaluate the magnitude of the frequency fluctuations in order to design compensating systems. This paper presents a new and simple method to evaluate the expected value of the frequency deviation due to variations in wind farm output, which is based on the intensity of turbulence and annual probability distribution for the wind speed.
As a number of wind power generation systems have been installed in power systems in the world, frequency fluctuations due to output power variations from wind farms have become a serious problem. Various countermeasures for the problem such as battery systems have been investigated. It is very important to evaluate the magnitude of frequency fluctuation for designing battery systems. This paper presents a method to evaluate expected value of the frequency deviation due to variations of wind farm output.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations –citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.