Title :
Reactive power and voltage control using micro-genetic algorithm
Author :
Guan, Dong ; Cai, Zixing ; Kong, Zhizhou
Author_Institution :
Coll. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
In the paper, a micro-genetic algorithm (MGA) based approach to the optimization of reactive power and voltage profiles improvement and real power loss minimization is present. The proposed strategy aims to prevent voltage fluctuations and unconvergence cases by coordinating the operation of reactive power and voltage control equipments. The problem is formulated as a combinatorial nonlinear optimization problem. Genetic algorithms (GA) are well-known global search technique anchored on the mechanisms of natural selection and genetics. Because of the time intensive nature of the conventional GA, the MGA is proposed as a more time efficient alternative. The feasibility and effectiveness of the developed algorithm is tested and verified on the Hunan grid power system.
Keywords :
combinatorial mathematics; genetic algorithms; losses; nonlinear programming; power grids; power system control; reactive power control; search problems; voltage control; Hunan grid power system; combinatorial nonlinear optimization; global search; microgenetic algorithm; power loss minimization; reactive power control; reactive power optimization; unconvergence case; voltage control; voltage fluctuation; voltage profiles improvement; Genetic algorithms; Linear programming; Power generation; Power systems; Reactive power; Reactive power control; System testing; Transformers; Voltage control; Voltage fluctuations; Hunan grid; Voltage/reactive power control; micro-genetic algorithm; varying fitness function;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246087