Calculation of economic transmission connection capacity for wind power generation G.W. Ault, K.R.W. Bell and S.J. Galloway group of wind farms Level 1 of the planning framework
The impact of WPP on power flows depends on the location of WPP relative to the load and the correlation between wind power production and load consumption. Depending on its location, wind power generation may
Wind turbines operate based on calculating the energy using the following equation: Energy = Power × Time. The variables in the power equation (given in equation 5) are different.
From the cdf of the power output, the expected annual power generation from the wind turbine GW can be found by integration: (6) G W = ∫ 0 p max (1 − F P (p)) d p × 8760 [MWh] where pmax is the size of the wind turbine in MW and 8760 represents the hours in a year. 3. The assesment of potential sites for wind farms
A sensitivity analysis was proposed to estimate the maximum level of wind power generation that can be integrated into the power grid . A novel approach was introduced in to estimate the maximum wind penetration level by leveraging a frequency sensitivity index.
Economical Analysis of the Data One of the most important studies that have to be carried out while establishing a wind turbine to a region is the calculation of kWh power cost. Generally, the cost of one wind power project per kWh is found by proportioning the annual total cost to the annual power generation amount.
The average capacity factor of the U.S. wind fleet hovers around 32% - 34%, but new turbine designs have been tested in the 60%+ range, like the 12 MW behemoth by GE. It's not unusual to see 40% and up capacity factors for well-sited wind farms.
For the proposed model, the annual capacity factor η of a wind turbine at a site can be calculated using the expected annual power generation (6) in the definition of capacity factor (11) as (12) η = ∫ 0 p max 1 - F P p d p P max. 3.2.
