Title :
Research on the compensation of reactive power for wind farms on simulated Annealing´s Particle Swarm Optimization Algorithm
Author :
Wang, Nan ; Tan, Lunnong
Author_Institution :
Sch. of Electron. Inf. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
In order to solve the problem of voltage stability in the power system including wind farms,a method that assembling SVC at the connection point and applying Simulated Annealing´s Particle Swarm Optimization (SAPSO)Algorithm to optimize the reactive power compensation capacity is given. The processing of the wind farm node reflects its character accurately. The model´s objective function is to let the voltage of connection point close to 1 p.u.. Under the difference of wind speed, combining the calculation of the power flow and the algorithm of SAPSO, the best reactive power compensation capacity is figured out. With the computing result, this method can reduce the number of iterations, realize the global optimization, and the voltage of the power system can be restricted within regular range.
Keywords :
load flow; particle swarm optimisation; power system stability; reactive power; simulated annealing; static VAr compensators; wind power plants; global optimization; iteration number; particle swarm optimization; power flow; power system; reactive power compensation capacity; simulated annealing; static var compensation; voltage stability problem; wind farms; wind speed; Particle swarm optimization; Power system stability; Reactive power; Simulated annealing; Static VAr compensators; Wind farms; Wind power generation; Simulated Annealing´s Particle Swarm Optimization(SAPSO) Algorithm; reactive power compensation; static var compensator(SVC); voltage stability; wind farm;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988418
