Title :
Power system reactive power optimization based on global differential evolution algorithm
Author :
Peifeng Wu ; Jianhua Zhang
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
The reactive power optimization problem has a significant influence on secure and economic operation of power systems. Reactive power optimization of power systems is a kind of mixed nonlinear integer programming problem and can reduce network loss by changing transformer taps, adjusting generator terminal voltage and connecting shunt capacitors. This paper proposes global differential evolution (GDE) algorithm which can improve the convergence speed and avoid local optimum. GDE is utilized to solve the reactive power optimization problems.Experimental results show that GDE algorithm is an effective algorithm to solve reactive power optimization problem and its optimization result is better than other algorithms.
Keywords :
evolutionary computation; integer programming; losses; nonlinear programming; power capacitors; power system economics; power system security; power transformers; reactive power; GDE; generator terminal voltage adjustment; global differential evolution algorithm; mixed nonlinear integer programming problem; network loss reduction; power system economics; power system reactive power optimization; power system security; shunt capacitor connection; transformer tap; Genetic algorithms; Optimization; Reactive power; Sociology; Standards; Statistics; Global Differential Evolution Algorithm; Network Loss; Reactive Power Optimization;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561073
