Title :
Reactive power compensation simulation based on stochastic simulation of particle swarm optimization
Author_Institution :
Sch. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
For the characteristics of distribution network, a mathematical model based on chance constrained programming (CCP) is given, and an algorithm of stochastic simulation´s particle swarm optimization is put forward to figure out the reactive power compensation capacity, the model´s objective function is to minimize cost, considering the characteristics of distribution network and non-active power characteristics and trends of distribution network processing methods. Use MATLAB/SIMULINK simulation of a distribution network reactive power, voltage, power factor changes, the method of the paper studies the optimization of reactive power compensation, the results show that the simulation model and algorithm is reasonable and effective.
Keywords :
compensation; distribution networks; particle swarm optimisation; power factor; reactive power; stochastic programming; Matlab-Simulink simulation; chance constrained programming; distribution network processing methods; mathematical model; model objective function; nonactive power characteristics; particle swarm optimization; power factor; reactive power compensation simulation; stochastic simulation; Annealing; MATLAB; Mathematical model; PSO; chance constrained programming; distribution network; reactive power compensation; stochastic simulation;
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9792-8
DOI :
10.1109/CSQRWC.2011.6037253