Title :
Research on the reactive power control of distributed generation system
Author :
Gao Yang ; Liu Li ; Xu Ao-ran ; Zhao Yi ; Sun wen-yao ; Wng Gang
Author_Institution :
Shenyang Inst. of Eng., Shenyang, China
Abstract :
This paper presents a centralized reactive control scheme of grid-connected inverter of distributed generation system. The power electronics interface performs the optimal operation to extract the maximum active power, while it also plays a key role in reactive compensation systems. A reactive power optimization algorithm including DG sources based on genetic algorithm is proposed. The corresponding particular model is built which takes into the minimum network loss and node voltage constraint. Genetic algorithm is used in reactive power optimization. The simulation examples show that the validity and effectiveness of the proposed algorithm in reducing network losses and improving the voltage profiles.
Keywords :
centralised control; distributed power generation; genetic algorithms; invertors; power generation control; power grids; reactive power control; DG sources; centralized reactive control scheme; distributed generation system; genetic algorithm; grid-connected inverter; maximum active power; minimum network loss; node voltage constraint; power electronic interface; reactive compensation systems; reactive power control; reactive power optimization algorithm; voltage profiles; Distributed generation; genetic algorithm; grid connected inverter; reactive optimization;
Conference_Titel :
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6065-4
Electronic_ISBN :
2161-7481
DOI :
10.1109/CICED.2012.6508450