Title :
Optimal VAR expansion considering capability curve of DFIG wind farm
Author_Institution :
Dept. of Electr. Eng., Qassim Univ., Alqassim, Saudi Arabia
Abstract :
This paper develops an optimal planning tool for VAR devices in the presence of a doubly fed induction generator (DFIG) based wind farm. The probabilistic wind power output associated with the capability curve of DFIG wind generator has been incorporated in the proposed formulation in order to examine its effect on the new VAR devices investment cost and compare the results with the current practice of the regulated power factor range of 0.95 leading and 0.95 lagging. The proposed method is stated as an optimization problem so that the objective function is to simultaneously minimize the sum of the annual investment cost of the new VAR devices as well as the annual expected energy loss cost. The objective function is achieved while simultaneously satisfying the investment constraints of the new VAR devices and several operating constraints including the effect of the wind park active power output and its associated VAR capability limits as well as the voltage security limits to enhance power system voltage stability.
Keywords :
asynchronous generators; constraint satisfaction problems; costing; investment; minimisation; power generation economics; power generation planning; power system security; power system stability; reactive power; wind power plants; DFIG wind farm capability curve; DFIG wind generator; VAR device; VAR device investment cost; annual expected energy loss cost; annual investment cost minimization; doubly fed induction generator; investment constraint satisfaction; optimization problem; power system voltage stability; probabilistic wind power output; reactive power planning problem; voltage security limit; wind park active power output; Investment; Planning; Reactive power; Wind farms; Wind power generation; Wind speed; Wind turbines; DFIG wind generator; VAR planning; capability curve; particle swarm optimization; voltage security;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672874