Title :
Towards an Assessment of Power System Frequency Support From Wind Plant—Modeling Aggregate Inertial Response
Author :
Lei Wu ; Infield, D.G.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Abstract :
With increasing wind penetration, it is likely that wind power plant will be expected to provide frequency response in support of the power system, in particular some form of inertial response. In these circumstances it is important to accurately quantify the type of inertial response available from wind plant (typically a wind farm) and how it is affected by varying wind conditions. Two different control schemes to provide this “synthetic” inertial response are investigated. The benefits of the non-standard control scheme are demonstrated by comparing the response with the conventional “ideal” inertial control scheme that exactly emulates synchronous generators in terms of their provision of inertial response. This paper proposes a novel probabilistic approach for estimation of the aggregate inertial response available from a wind farm by using a Gaussian probability distribution to model wind turbulence. The aggregate inertial response calculated in this way has been examined at various mean wind speed levels and has the advantage that it automatically takes into account wind speed variations during the transient event itself.
Keywords :
Gaussian processes; atmospheric turbulence; power generation control; power system simulation; power system transients; probability; synchronous generators; wind power plants; Gaussian probability distribution; frequency response; frequency support; ideal inertial control scheme; inertial response aggregation estimation; mean wind speed level; nonstandard control scheme; power system assessment; power system transient; synchronous generator; wind farm; wind power plant; wind turbulence; Aerodynamics; Frequency control; Power systems; Rotors; Torque; Wind speed; Wind turbines; Gaussian distribution; inertial response; power system operation; synthetic inertia; variable speed wind turbine; wind turbulence; wind variation;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2236365